Training in progress, step 144000, checkpoint
Browse files- checkpoint-144000/added_tokens.json +5 -0
- checkpoint-144000/config.json +46 -0
- checkpoint-144000/merges.txt +0 -0
- checkpoint-144000/optimizer.pt +3 -0
- checkpoint-144000/pytorch_model.bin +3 -0
- checkpoint-144000/rng_state.pth +3 -0
- checkpoint-144000/scheduler.pt +3 -0
- checkpoint-144000/special_tokens_map.json +6 -0
- checkpoint-144000/tokenizer_config.json +7 -0
- checkpoint-144000/trainer_state.json +2185 -0
- checkpoint-144000/training_args.bin +3 -0
- checkpoint-144000/vocab.json +0 -0
checkpoint-144000/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<bos>": 40478,
|
| 3 |
+
"<eos>": 40479,
|
| 4 |
+
"<pad>": 40480
|
| 5 |
+
}
|
checkpoint-144000/config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openai-gpt",
|
| 3 |
+
"afn": "gelu",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"OpenAIGPTForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"embd_pdrop": 0.1,
|
| 9 |
+
"id2label": {
|
| 10 |
+
"0": "entailment",
|
| 11 |
+
"1": "neutral",
|
| 12 |
+
"2": "contradiction"
|
| 13 |
+
},
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"label2id": {
|
| 16 |
+
"contradiction": 2,
|
| 17 |
+
"entailment": 0,
|
| 18 |
+
"neutral": 1
|
| 19 |
+
},
|
| 20 |
+
"layer_norm_epsilon": 1e-05,
|
| 21 |
+
"model_type": "openai-gpt",
|
| 22 |
+
"n_ctx": 512,
|
| 23 |
+
"n_embd": 768,
|
| 24 |
+
"n_head": 12,
|
| 25 |
+
"n_layer": 4,
|
| 26 |
+
"n_positions": 512,
|
| 27 |
+
"n_special": 0,
|
| 28 |
+
"pad_token_id": 40480,
|
| 29 |
+
"predict_special_tokens": true,
|
| 30 |
+
"problem_type": "single_label_classification",
|
| 31 |
+
"resid_pdrop": 0.1,
|
| 32 |
+
"summary_activation": null,
|
| 33 |
+
"summary_first_dropout": 0.1,
|
| 34 |
+
"summary_proj_to_labels": true,
|
| 35 |
+
"summary_type": "last",
|
| 36 |
+
"summary_use_proj": true,
|
| 37 |
+
"task_specific_params": {
|
| 38 |
+
"text-generation": {
|
| 39 |
+
"do_sample": true,
|
| 40 |
+
"max_length": 50
|
| 41 |
+
}
|
| 42 |
+
},
|
| 43 |
+
"torch_dtype": "float32",
|
| 44 |
+
"transformers_version": "4.33.0.dev0",
|
| 45 |
+
"vocab_size": 40481
|
| 46 |
+
}
|
checkpoint-144000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-144000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cb6fb47dfbeb3b2ebb7065de026746352b4f9842ccbb7476e711ce90f87779d1
|
| 3 |
+
size 478721285
|
checkpoint-144000/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:558707bef565398f7d49635f2c2fb2437269515af87adc266004573ddc5b55c0
|
| 3 |
+
size 239361994
|
checkpoint-144000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2872ae4645543fe83fb3f7088e7a6be9aa9f9e9a1208095340f096ca211d887
|
| 3 |
+
size 14575
|
checkpoint-144000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1850d7305fe5a17b80bf41574212cac068b2fb2b4c60551977cbda21bdae017d
|
| 3 |
+
size 627
|
checkpoint-144000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<bos>",
|
| 3 |
+
"eos_token": "<eos>",
|
| 4 |
+
"pad_token": "<pad>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
checkpoint-144000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clean_up_tokenization_spaces": true,
|
| 3 |
+
"model_max_length": 512,
|
| 4 |
+
"padding_side": "left",
|
| 5 |
+
"tokenizer_class": "OpenAIGPTTokenizer",
|
| 6 |
+
"unk_token": "<unk>"
|
| 7 |
+
}
|
checkpoint-144000/trainer_state.json
ADDED
|
@@ -0,0 +1,2185 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9519925117492676,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-144000",
|
| 4 |
+
"epoch": 5.867014341590613,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 144000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 2.7777777777777777e-11,
|
| 14 |
+
"loss": 1.2184,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 2.7750000000000004e-08,
|
| 20 |
+
"loss": 1.1394,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.04,
|
| 25 |
+
"eval_accuracy": 0.3327345309381238,
|
| 26 |
+
"eval_loss": 1.1149410009384155,
|
| 27 |
+
"eval_runtime": 20.6803,
|
| 28 |
+
"eval_samples_per_second": 242.26,
|
| 29 |
+
"eval_steps_per_second": 30.319,
|
| 30 |
+
"step": 1000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08,
|
| 34 |
+
"learning_rate": 5.5527777777777784e-08,
|
| 35 |
+
"loss": 1.1141,
|
| 36 |
+
"step": 2000
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.08,
|
| 40 |
+
"eval_accuracy": 0.3401197604790419,
|
| 41 |
+
"eval_loss": 1.104099988937378,
|
| 42 |
+
"eval_runtime": 20.8477,
|
| 43 |
+
"eval_samples_per_second": 240.314,
|
| 44 |
+
"eval_steps_per_second": 30.075,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 8.330555555555556e-08,
|
| 50 |
+
"loss": 1.116,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.12,
|
| 55 |
+
"eval_accuracy": 0.3407185628742515,
|
| 56 |
+
"eval_loss": 1.1040862798690796,
|
| 57 |
+
"eval_runtime": 20.6818,
|
| 58 |
+
"eval_samples_per_second": 242.242,
|
| 59 |
+
"eval_steps_per_second": 30.317,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.16,
|
| 64 |
+
"learning_rate": 1.1108333333333333e-07,
|
| 65 |
+
"loss": 1.1158,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16,
|
| 70 |
+
"eval_accuracy": 0.32894211576846305,
|
| 71 |
+
"eval_loss": 1.1020556688308716,
|
| 72 |
+
"eval_runtime": 20.8541,
|
| 73 |
+
"eval_samples_per_second": 240.241,
|
| 74 |
+
"eval_steps_per_second": 30.066,
|
| 75 |
+
"step": 4000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 1.3883333333333335e-07,
|
| 80 |
+
"loss": 1.1135,
|
| 81 |
+
"step": 5000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.2,
|
| 85 |
+
"eval_accuracy": 0.34271457085828344,
|
| 86 |
+
"eval_loss": 1.1008552312850952,
|
| 87 |
+
"eval_runtime": 20.8055,
|
| 88 |
+
"eval_samples_per_second": 240.802,
|
| 89 |
+
"eval_steps_per_second": 30.136,
|
| 90 |
+
"step": 5000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.24,
|
| 94 |
+
"learning_rate": 1.6658333333333335e-07,
|
| 95 |
+
"loss": 1.1121,
|
| 96 |
+
"step": 6000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.24,
|
| 100 |
+
"eval_accuracy": 0.3395209580838323,
|
| 101 |
+
"eval_loss": 1.1004050970077515,
|
| 102 |
+
"eval_runtime": 20.8985,
|
| 103 |
+
"eval_samples_per_second": 239.731,
|
| 104 |
+
"eval_steps_per_second": 30.002,
|
| 105 |
+
"step": 6000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 1.9436111111111112e-07,
|
| 110 |
+
"loss": 1.1089,
|
| 111 |
+
"step": 7000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.29,
|
| 115 |
+
"eval_accuracy": 0.35788423153692617,
|
| 116 |
+
"eval_loss": 1.0985721349716187,
|
| 117 |
+
"eval_runtime": 20.84,
|
| 118 |
+
"eval_samples_per_second": 240.403,
|
| 119 |
+
"eval_steps_per_second": 30.086,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.33,
|
| 124 |
+
"learning_rate": 2.2213888888888891e-07,
|
| 125 |
+
"loss": 1.1079,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.33,
|
| 130 |
+
"eval_accuracy": 0.3331337325349301,
|
| 131 |
+
"eval_loss": 1.098374843597412,
|
| 132 |
+
"eval_runtime": 20.7886,
|
| 133 |
+
"eval_samples_per_second": 240.998,
|
| 134 |
+
"eval_steps_per_second": 30.161,
|
| 135 |
+
"step": 8000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 2.4988888888888893e-07,
|
| 140 |
+
"loss": 1.1087,
|
| 141 |
+
"step": 9000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.37,
|
| 145 |
+
"eval_accuracy": 0.34510978043912177,
|
| 146 |
+
"eval_loss": 1.0993521213531494,
|
| 147 |
+
"eval_runtime": 20.782,
|
| 148 |
+
"eval_samples_per_second": 241.074,
|
| 149 |
+
"eval_steps_per_second": 30.17,
|
| 150 |
+
"step": 9000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.41,
|
| 154 |
+
"learning_rate": 2.776666666666667e-07,
|
| 155 |
+
"loss": 1.109,
|
| 156 |
+
"step": 10000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.41,
|
| 160 |
+
"eval_accuracy": 0.3475049900199601,
|
| 161 |
+
"eval_loss": 1.0967597961425781,
|
| 162 |
+
"eval_runtime": 20.6798,
|
| 163 |
+
"eval_samples_per_second": 242.265,
|
| 164 |
+
"eval_steps_per_second": 30.319,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.45,
|
| 169 |
+
"learning_rate": 3.054444444444444e-07,
|
| 170 |
+
"loss": 1.1052,
|
| 171 |
+
"step": 11000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.45,
|
| 175 |
+
"eval_accuracy": 0.37544910179640717,
|
| 176 |
+
"eval_loss": 1.0941349267959595,
|
| 177 |
+
"eval_runtime": 20.8641,
|
| 178 |
+
"eval_samples_per_second": 240.126,
|
| 179 |
+
"eval_steps_per_second": 30.052,
|
| 180 |
+
"step": 11000
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.49,
|
| 184 |
+
"learning_rate": 3.3322222222222225e-07,
|
| 185 |
+
"loss": 1.105,
|
| 186 |
+
"step": 12000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.49,
|
| 190 |
+
"eval_accuracy": 0.3834331337325349,
|
| 191 |
+
"eval_loss": 1.0927647352218628,
|
| 192 |
+
"eval_runtime": 20.6541,
|
| 193 |
+
"eval_samples_per_second": 242.567,
|
| 194 |
+
"eval_steps_per_second": 30.357,
|
| 195 |
+
"step": 12000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.53,
|
| 199 |
+
"learning_rate": 3.609722222222222e-07,
|
| 200 |
+
"loss": 1.1016,
|
| 201 |
+
"step": 13000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.53,
|
| 205 |
+
"eval_accuracy": 0.3457085828343313,
|
| 206 |
+
"eval_loss": 1.0942081212997437,
|
| 207 |
+
"eval_runtime": 21.0733,
|
| 208 |
+
"eval_samples_per_second": 237.742,
|
| 209 |
+
"eval_steps_per_second": 29.753,
|
| 210 |
+
"step": 13000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.57,
|
| 214 |
+
"learning_rate": 3.8875e-07,
|
| 215 |
+
"loss": 1.1031,
|
| 216 |
+
"step": 14000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.57,
|
| 220 |
+
"eval_accuracy": 0.37005988023952097,
|
| 221 |
+
"eval_loss": 1.0918152332305908,
|
| 222 |
+
"eval_runtime": 20.9151,
|
| 223 |
+
"eval_samples_per_second": 239.54,
|
| 224 |
+
"eval_steps_per_second": 29.978,
|
| 225 |
+
"step": 14000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.61,
|
| 229 |
+
"learning_rate": 4.1652777777777786e-07,
|
| 230 |
+
"loss": 1.1026,
|
| 231 |
+
"step": 15000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.61,
|
| 235 |
+
"eval_accuracy": 0.3790419161676647,
|
| 236 |
+
"eval_loss": 1.0895211696624756,
|
| 237 |
+
"eval_runtime": 21.0591,
|
| 238 |
+
"eval_samples_per_second": 237.902,
|
| 239 |
+
"eval_steps_per_second": 29.773,
|
| 240 |
+
"step": 15000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.65,
|
| 244 |
+
"learning_rate": 4.4427777777777783e-07,
|
| 245 |
+
"loss": 1.0988,
|
| 246 |
+
"step": 16000
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.65,
|
| 250 |
+
"eval_accuracy": 0.4101796407185629,
|
| 251 |
+
"eval_loss": 1.0852997303009033,
|
| 252 |
+
"eval_runtime": 20.9509,
|
| 253 |
+
"eval_samples_per_second": 239.131,
|
| 254 |
+
"eval_steps_per_second": 29.927,
|
| 255 |
+
"step": 16000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.69,
|
| 259 |
+
"learning_rate": 4.720555555555556e-07,
|
| 260 |
+
"loss": 1.0974,
|
| 261 |
+
"step": 17000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.69,
|
| 265 |
+
"eval_accuracy": 0.43213572854291415,
|
| 266 |
+
"eval_loss": 1.0791982412338257,
|
| 267 |
+
"eval_runtime": 20.7526,
|
| 268 |
+
"eval_samples_per_second": 241.415,
|
| 269 |
+
"eval_steps_per_second": 30.213,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.73,
|
| 274 |
+
"learning_rate": 4.998055555555556e-07,
|
| 275 |
+
"loss": 1.0932,
|
| 276 |
+
"step": 18000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.73,
|
| 280 |
+
"eval_accuracy": 0.4275449101796407,
|
| 281 |
+
"eval_loss": 1.072191596031189,
|
| 282 |
+
"eval_runtime": 21.2435,
|
| 283 |
+
"eval_samples_per_second": 235.837,
|
| 284 |
+
"eval_steps_per_second": 29.515,
|
| 285 |
+
"step": 18000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.77,
|
| 289 |
+
"learning_rate": 5.275833333333334e-07,
|
| 290 |
+
"loss": 1.0833,
|
| 291 |
+
"step": 19000
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.77,
|
| 295 |
+
"eval_accuracy": 0.43233532934131735,
|
| 296 |
+
"eval_loss": 1.06425940990448,
|
| 297 |
+
"eval_runtime": 20.7923,
|
| 298 |
+
"eval_samples_per_second": 240.955,
|
| 299 |
+
"eval_steps_per_second": 30.155,
|
| 300 |
+
"step": 19000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.81,
|
| 304 |
+
"learning_rate": 5.553333333333334e-07,
|
| 305 |
+
"loss": 1.0787,
|
| 306 |
+
"step": 20000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.81,
|
| 310 |
+
"eval_accuracy": 0.4295409181636727,
|
| 311 |
+
"eval_loss": 1.0638529062271118,
|
| 312 |
+
"eval_runtime": 21.0018,
|
| 313 |
+
"eval_samples_per_second": 238.551,
|
| 314 |
+
"eval_steps_per_second": 29.855,
|
| 315 |
+
"step": 20000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.86,
|
| 319 |
+
"learning_rate": 5.831111111111111e-07,
|
| 320 |
+
"loss": 1.0779,
|
| 321 |
+
"step": 21000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.86,
|
| 325 |
+
"eval_accuracy": 0.4243512974051896,
|
| 326 |
+
"eval_loss": 1.0603673458099365,
|
| 327 |
+
"eval_runtime": 20.9689,
|
| 328 |
+
"eval_samples_per_second": 238.926,
|
| 329 |
+
"eval_steps_per_second": 29.901,
|
| 330 |
+
"step": 21000
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.9,
|
| 334 |
+
"learning_rate": 6.108888888888888e-07,
|
| 335 |
+
"loss": 1.0751,
|
| 336 |
+
"step": 22000
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.9,
|
| 340 |
+
"eval_accuracy": 0.43233532934131735,
|
| 341 |
+
"eval_loss": 1.0603009462356567,
|
| 342 |
+
"eval_runtime": 20.8897,
|
| 343 |
+
"eval_samples_per_second": 239.831,
|
| 344 |
+
"eval_steps_per_second": 30.015,
|
| 345 |
+
"step": 22000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.94,
|
| 349 |
+
"learning_rate": 6.386388888888889e-07,
|
| 350 |
+
"loss": 1.0776,
|
| 351 |
+
"step": 23000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.94,
|
| 355 |
+
"eval_accuracy": 0.42734530938123755,
|
| 356 |
+
"eval_loss": 1.0591468811035156,
|
| 357 |
+
"eval_runtime": 20.964,
|
| 358 |
+
"eval_samples_per_second": 238.981,
|
| 359 |
+
"eval_steps_per_second": 29.908,
|
| 360 |
+
"step": 23000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.98,
|
| 364 |
+
"learning_rate": 6.664166666666667e-07,
|
| 365 |
+
"loss": 1.0754,
|
| 366 |
+
"step": 24000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.98,
|
| 370 |
+
"eval_accuracy": 0.4245508982035928,
|
| 371 |
+
"eval_loss": 1.0589721202850342,
|
| 372 |
+
"eval_runtime": 20.9053,
|
| 373 |
+
"eval_samples_per_second": 239.652,
|
| 374 |
+
"eval_steps_per_second": 29.992,
|
| 375 |
+
"step": 24000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.02,
|
| 379 |
+
"learning_rate": 6.941666666666667e-07,
|
| 380 |
+
"loss": 1.0736,
|
| 381 |
+
"step": 25000
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.02,
|
| 385 |
+
"eval_accuracy": 0.43213572854291415,
|
| 386 |
+
"eval_loss": 1.0583962202072144,
|
| 387 |
+
"eval_runtime": 21.3265,
|
| 388 |
+
"eval_samples_per_second": 234.919,
|
| 389 |
+
"eval_steps_per_second": 29.4,
|
| 390 |
+
"step": 25000
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.06,
|
| 394 |
+
"learning_rate": 7.219444444444444e-07,
|
| 395 |
+
"loss": 1.0717,
|
| 396 |
+
"step": 26000
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.06,
|
| 400 |
+
"eval_accuracy": 0.4305389221556886,
|
| 401 |
+
"eval_loss": 1.0561293363571167,
|
| 402 |
+
"eval_runtime": 21.3034,
|
| 403 |
+
"eval_samples_per_second": 235.174,
|
| 404 |
+
"eval_steps_per_second": 29.432,
|
| 405 |
+
"step": 26000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.1,
|
| 409 |
+
"learning_rate": 7.496944444444444e-07,
|
| 410 |
+
"loss": 1.0709,
|
| 411 |
+
"step": 27000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1,
|
| 415 |
+
"eval_accuracy": 0.4281437125748503,
|
| 416 |
+
"eval_loss": 1.0555357933044434,
|
| 417 |
+
"eval_runtime": 21.2178,
|
| 418 |
+
"eval_samples_per_second": 236.123,
|
| 419 |
+
"eval_steps_per_second": 29.551,
|
| 420 |
+
"step": 27000
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.14,
|
| 424 |
+
"learning_rate": 7.774722222222223e-07,
|
| 425 |
+
"loss": 1.0701,
|
| 426 |
+
"step": 28000
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.14,
|
| 430 |
+
"eval_accuracy": 0.4217564870259481,
|
| 431 |
+
"eval_loss": 1.054961085319519,
|
| 432 |
+
"eval_runtime": 21.1775,
|
| 433 |
+
"eval_samples_per_second": 236.571,
|
| 434 |
+
"eval_steps_per_second": 29.607,
|
| 435 |
+
"step": 28000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.18,
|
| 439 |
+
"learning_rate": 8.052222222222223e-07,
|
| 440 |
+
"loss": 1.0641,
|
| 441 |
+
"step": 29000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.18,
|
| 445 |
+
"eval_accuracy": 0.4291417165668663,
|
| 446 |
+
"eval_loss": 1.0518379211425781,
|
| 447 |
+
"eval_runtime": 21.0932,
|
| 448 |
+
"eval_samples_per_second": 237.517,
|
| 449 |
+
"eval_steps_per_second": 29.725,
|
| 450 |
+
"step": 29000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.22,
|
| 454 |
+
"learning_rate": 8.330000000000001e-07,
|
| 455 |
+
"loss": 1.064,
|
| 456 |
+
"step": 30000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.22,
|
| 460 |
+
"eval_accuracy": 0.43173652694610776,
|
| 461 |
+
"eval_loss": 1.0493717193603516,
|
| 462 |
+
"eval_runtime": 21.2843,
|
| 463 |
+
"eval_samples_per_second": 235.385,
|
| 464 |
+
"eval_steps_per_second": 29.458,
|
| 465 |
+
"step": 30000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.26,
|
| 469 |
+
"learning_rate": 8.607500000000001e-07,
|
| 470 |
+
"loss": 1.0693,
|
| 471 |
+
"step": 31000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.26,
|
| 475 |
+
"eval_accuracy": 0.4291417165668663,
|
| 476 |
+
"eval_loss": 1.0521764755249023,
|
| 477 |
+
"eval_runtime": 21.2278,
|
| 478 |
+
"eval_samples_per_second": 236.011,
|
| 479 |
+
"eval_steps_per_second": 29.537,
|
| 480 |
+
"step": 31000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.3,
|
| 484 |
+
"learning_rate": 8.885277777777779e-07,
|
| 485 |
+
"loss": 1.0649,
|
| 486 |
+
"step": 32000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3,
|
| 490 |
+
"eval_accuracy": 0.42375249500998,
|
| 491 |
+
"eval_loss": 1.0528494119644165,
|
| 492 |
+
"eval_runtime": 21.1249,
|
| 493 |
+
"eval_samples_per_second": 237.161,
|
| 494 |
+
"eval_steps_per_second": 29.681,
|
| 495 |
+
"step": 32000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.34,
|
| 499 |
+
"learning_rate": 9.163055555555556e-07,
|
| 500 |
+
"loss": 1.0619,
|
| 501 |
+
"step": 33000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.34,
|
| 505 |
+
"eval_accuracy": 0.43293413173652695,
|
| 506 |
+
"eval_loss": 1.049193263053894,
|
| 507 |
+
"eval_runtime": 21.241,
|
| 508 |
+
"eval_samples_per_second": 235.865,
|
| 509 |
+
"eval_steps_per_second": 29.518,
|
| 510 |
+
"step": 33000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.39,
|
| 514 |
+
"learning_rate": 9.440555555555557e-07,
|
| 515 |
+
"loss": 1.0582,
|
| 516 |
+
"step": 34000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.39,
|
| 520 |
+
"eval_accuracy": 0.4357285429141717,
|
| 521 |
+
"eval_loss": 1.04512619972229,
|
| 522 |
+
"eval_runtime": 21.2531,
|
| 523 |
+
"eval_samples_per_second": 235.73,
|
| 524 |
+
"eval_steps_per_second": 29.502,
|
| 525 |
+
"step": 34000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.43,
|
| 529 |
+
"learning_rate": 9.718333333333334e-07,
|
| 530 |
+
"loss": 1.0629,
|
| 531 |
+
"step": 35000
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.43,
|
| 535 |
+
"eval_accuracy": 0.43253493013972055,
|
| 536 |
+
"eval_loss": 1.043523907661438,
|
| 537 |
+
"eval_runtime": 21.2176,
|
| 538 |
+
"eval_samples_per_second": 236.124,
|
| 539 |
+
"eval_steps_per_second": 29.551,
|
| 540 |
+
"step": 35000
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.47,
|
| 544 |
+
"learning_rate": 9.995833333333334e-07,
|
| 545 |
+
"loss": 1.0588,
|
| 546 |
+
"step": 36000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.47,
|
| 550 |
+
"eval_accuracy": 0.4307385229540918,
|
| 551 |
+
"eval_loss": 1.0413768291473389,
|
| 552 |
+
"eval_runtime": 21.2225,
|
| 553 |
+
"eval_samples_per_second": 236.07,
|
| 554 |
+
"eval_steps_per_second": 29.544,
|
| 555 |
+
"step": 36000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.51,
|
| 559 |
+
"learning_rate": 1.0273611111111112e-06,
|
| 560 |
+
"loss": 1.0552,
|
| 561 |
+
"step": 37000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.51,
|
| 565 |
+
"eval_accuracy": 0.4415169660678643,
|
| 566 |
+
"eval_loss": 1.0397700071334839,
|
| 567 |
+
"eval_runtime": 21.0651,
|
| 568 |
+
"eval_samples_per_second": 237.835,
|
| 569 |
+
"eval_steps_per_second": 29.765,
|
| 570 |
+
"step": 37000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.55,
|
| 574 |
+
"learning_rate": 1.055138888888889e-06,
|
| 575 |
+
"loss": 1.0567,
|
| 576 |
+
"step": 38000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.55,
|
| 580 |
+
"eval_accuracy": 0.4419161676646707,
|
| 581 |
+
"eval_loss": 1.0390877723693848,
|
| 582 |
+
"eval_runtime": 21.2858,
|
| 583 |
+
"eval_samples_per_second": 235.368,
|
| 584 |
+
"eval_steps_per_second": 29.456,
|
| 585 |
+
"step": 38000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.59,
|
| 589 |
+
"learning_rate": 1.0829166666666667e-06,
|
| 590 |
+
"loss": 1.054,
|
| 591 |
+
"step": 39000
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.59,
|
| 595 |
+
"eval_accuracy": 0.43952095808383235,
|
| 596 |
+
"eval_loss": 1.0404103994369507,
|
| 597 |
+
"eval_runtime": 21.2544,
|
| 598 |
+
"eval_samples_per_second": 235.715,
|
| 599 |
+
"eval_steps_per_second": 29.5,
|
| 600 |
+
"step": 39000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.63,
|
| 604 |
+
"learning_rate": 1.1106666666666668e-06,
|
| 605 |
+
"loss": 1.049,
|
| 606 |
+
"step": 40000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.63,
|
| 610 |
+
"eval_accuracy": 0.4477045908183633,
|
| 611 |
+
"eval_loss": 1.0360453128814697,
|
| 612 |
+
"eval_runtime": 21.0993,
|
| 613 |
+
"eval_samples_per_second": 237.448,
|
| 614 |
+
"eval_steps_per_second": 29.717,
|
| 615 |
+
"step": 40000
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 1.67,
|
| 619 |
+
"learning_rate": 1.1384444444444446e-06,
|
| 620 |
+
"loss": 1.0522,
|
| 621 |
+
"step": 41000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 1.67,
|
| 625 |
+
"eval_accuracy": 0.443313373253493,
|
| 626 |
+
"eval_loss": 1.0359567403793335,
|
| 627 |
+
"eval_runtime": 21.2828,
|
| 628 |
+
"eval_samples_per_second": 235.401,
|
| 629 |
+
"eval_steps_per_second": 29.46,
|
| 630 |
+
"step": 41000
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 1.71,
|
| 634 |
+
"learning_rate": 1.1661944444444447e-06,
|
| 635 |
+
"loss": 1.0459,
|
| 636 |
+
"step": 42000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 1.71,
|
| 640 |
+
"eval_accuracy": 0.437125748502994,
|
| 641 |
+
"eval_loss": 1.0328505039215088,
|
| 642 |
+
"eval_runtime": 21.2626,
|
| 643 |
+
"eval_samples_per_second": 235.625,
|
| 644 |
+
"eval_steps_per_second": 29.488,
|
| 645 |
+
"step": 42000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 1.75,
|
| 649 |
+
"learning_rate": 1.1939722222222222e-06,
|
| 650 |
+
"loss": 1.0488,
|
| 651 |
+
"step": 43000
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.75,
|
| 655 |
+
"eval_accuracy": 0.4379241516966068,
|
| 656 |
+
"eval_loss": 1.0460196733474731,
|
| 657 |
+
"eval_runtime": 21.2023,
|
| 658 |
+
"eval_samples_per_second": 236.295,
|
| 659 |
+
"eval_steps_per_second": 29.572,
|
| 660 |
+
"step": 43000
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.79,
|
| 664 |
+
"learning_rate": 1.2217222222222223e-06,
|
| 665 |
+
"loss": 1.0504,
|
| 666 |
+
"step": 44000
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 1.79,
|
| 670 |
+
"eval_accuracy": 0.4421157684630739,
|
| 671 |
+
"eval_loss": 1.0345144271850586,
|
| 672 |
+
"eval_runtime": 21.2684,
|
| 673 |
+
"eval_samples_per_second": 235.561,
|
| 674 |
+
"eval_steps_per_second": 29.48,
|
| 675 |
+
"step": 44000
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.83,
|
| 679 |
+
"learning_rate": 1.2494722222222224e-06,
|
| 680 |
+
"loss": 1.0482,
|
| 681 |
+
"step": 45000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.83,
|
| 685 |
+
"eval_accuracy": 0.46467065868263474,
|
| 686 |
+
"eval_loss": 1.0280784368515015,
|
| 687 |
+
"eval_runtime": 21.1069,
|
| 688 |
+
"eval_samples_per_second": 237.363,
|
| 689 |
+
"eval_steps_per_second": 29.706,
|
| 690 |
+
"step": 45000
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 1.87,
|
| 694 |
+
"learning_rate": 1.2772500000000001e-06,
|
| 695 |
+
"loss": 1.046,
|
| 696 |
+
"step": 46000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.87,
|
| 700 |
+
"eval_accuracy": 0.4554890219560878,
|
| 701 |
+
"eval_loss": 1.031961441040039,
|
| 702 |
+
"eval_runtime": 21.2098,
|
| 703 |
+
"eval_samples_per_second": 236.211,
|
| 704 |
+
"eval_steps_per_second": 29.562,
|
| 705 |
+
"step": 46000
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 1.91,
|
| 709 |
+
"learning_rate": 1.3050277777777777e-06,
|
| 710 |
+
"loss": 1.0391,
|
| 711 |
+
"step": 47000
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 1.91,
|
| 715 |
+
"eval_accuracy": 0.46706586826347307,
|
| 716 |
+
"eval_loss": 1.023941159248352,
|
| 717 |
+
"eval_runtime": 21.2269,
|
| 718 |
+
"eval_samples_per_second": 236.021,
|
| 719 |
+
"eval_steps_per_second": 29.538,
|
| 720 |
+
"step": 47000
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 1.96,
|
| 724 |
+
"learning_rate": 1.3328055555555555e-06,
|
| 725 |
+
"loss": 1.0444,
|
| 726 |
+
"step": 48000
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 1.96,
|
| 730 |
+
"eval_accuracy": 0.4491017964071856,
|
| 731 |
+
"eval_loss": 1.036636471748352,
|
| 732 |
+
"eval_runtime": 21.1179,
|
| 733 |
+
"eval_samples_per_second": 237.239,
|
| 734 |
+
"eval_steps_per_second": 29.69,
|
| 735 |
+
"step": 48000
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.0,
|
| 739 |
+
"learning_rate": 1.3605555555555555e-06,
|
| 740 |
+
"loss": 1.0386,
|
| 741 |
+
"step": 49000
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.0,
|
| 745 |
+
"eval_accuracy": 0.47305389221556887,
|
| 746 |
+
"eval_loss": 1.0199605226516724,
|
| 747 |
+
"eval_runtime": 21.2669,
|
| 748 |
+
"eval_samples_per_second": 235.577,
|
| 749 |
+
"eval_steps_per_second": 29.482,
|
| 750 |
+
"step": 49000
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 2.04,
|
| 754 |
+
"learning_rate": 1.3883333333333333e-06,
|
| 755 |
+
"loss": 1.0379,
|
| 756 |
+
"step": 50000
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 2.04,
|
| 760 |
+
"eval_accuracy": 0.4738522954091816,
|
| 761 |
+
"eval_loss": 1.0184080600738525,
|
| 762 |
+
"eval_runtime": 21.2806,
|
| 763 |
+
"eval_samples_per_second": 235.426,
|
| 764 |
+
"eval_steps_per_second": 29.463,
|
| 765 |
+
"step": 50000
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.08,
|
| 769 |
+
"learning_rate": 1.416111111111111e-06,
|
| 770 |
+
"loss": 1.0365,
|
| 771 |
+
"step": 51000
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.08,
|
| 775 |
+
"eval_accuracy": 0.474251497005988,
|
| 776 |
+
"eval_loss": 1.0143232345581055,
|
| 777 |
+
"eval_runtime": 21.1003,
|
| 778 |
+
"eval_samples_per_second": 237.437,
|
| 779 |
+
"eval_steps_per_second": 29.715,
|
| 780 |
+
"step": 51000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 2.12,
|
| 784 |
+
"learning_rate": 1.4438888888888889e-06,
|
| 785 |
+
"loss": 1.0356,
|
| 786 |
+
"step": 52000
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 2.12,
|
| 790 |
+
"eval_accuracy": 0.4782435129740519,
|
| 791 |
+
"eval_loss": 1.0179694890975952,
|
| 792 |
+
"eval_runtime": 21.2847,
|
| 793 |
+
"eval_samples_per_second": 235.38,
|
| 794 |
+
"eval_steps_per_second": 29.458,
|
| 795 |
+
"step": 52000
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.16,
|
| 799 |
+
"learning_rate": 1.471611111111111e-06,
|
| 800 |
+
"loss": 1.0401,
|
| 801 |
+
"step": 53000
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 2.16,
|
| 805 |
+
"eval_accuracy": 0.4864271457085828,
|
| 806 |
+
"eval_loss": 1.008955955505371,
|
| 807 |
+
"eval_runtime": 21.0808,
|
| 808 |
+
"eval_samples_per_second": 237.657,
|
| 809 |
+
"eval_steps_per_second": 29.743,
|
| 810 |
+
"step": 53000
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 2.2,
|
| 814 |
+
"learning_rate": 1.4993888888888888e-06,
|
| 815 |
+
"loss": 1.0338,
|
| 816 |
+
"step": 54000
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.2,
|
| 820 |
+
"eval_accuracy": 0.4870259481037924,
|
| 821 |
+
"eval_loss": 1.0100921392440796,
|
| 822 |
+
"eval_runtime": 21.2581,
|
| 823 |
+
"eval_samples_per_second": 235.674,
|
| 824 |
+
"eval_steps_per_second": 29.495,
|
| 825 |
+
"step": 54000
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 2.24,
|
| 829 |
+
"learning_rate": 1.5271388888888889e-06,
|
| 830 |
+
"loss": 1.0322,
|
| 831 |
+
"step": 55000
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 2.24,
|
| 835 |
+
"eval_accuracy": 0.48403193612774453,
|
| 836 |
+
"eval_loss": 1.0082924365997314,
|
| 837 |
+
"eval_runtime": 21.2835,
|
| 838 |
+
"eval_samples_per_second": 235.394,
|
| 839 |
+
"eval_steps_per_second": 29.459,
|
| 840 |
+
"step": 55000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 2.28,
|
| 844 |
+
"learning_rate": 1.5549166666666666e-06,
|
| 845 |
+
"loss": 1.0287,
|
| 846 |
+
"step": 56000
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 2.28,
|
| 850 |
+
"eval_accuracy": 0.47065868263473054,
|
| 851 |
+
"eval_loss": 1.0229328870773315,
|
| 852 |
+
"eval_runtime": 21.1356,
|
| 853 |
+
"eval_samples_per_second": 237.04,
|
| 854 |
+
"eval_steps_per_second": 29.666,
|
| 855 |
+
"step": 56000
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.32,
|
| 859 |
+
"learning_rate": 1.5826944444444446e-06,
|
| 860 |
+
"loss": 1.0291,
|
| 861 |
+
"step": 57000
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 2.32,
|
| 865 |
+
"eval_accuracy": 0.4844311377245509,
|
| 866 |
+
"eval_loss": 1.0074658393859863,
|
| 867 |
+
"eval_runtime": 21.2919,
|
| 868 |
+
"eval_samples_per_second": 235.301,
|
| 869 |
+
"eval_steps_per_second": 29.448,
|
| 870 |
+
"step": 57000
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.36,
|
| 874 |
+
"learning_rate": 1.6104722222222222e-06,
|
| 875 |
+
"loss": 1.0304,
|
| 876 |
+
"step": 58000
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 2.36,
|
| 880 |
+
"eval_accuracy": 0.4874251497005988,
|
| 881 |
+
"eval_loss": 1.007895588874817,
|
| 882 |
+
"eval_runtime": 21.1997,
|
| 883 |
+
"eval_samples_per_second": 236.324,
|
| 884 |
+
"eval_steps_per_second": 29.576,
|
| 885 |
+
"step": 58000
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.4,
|
| 889 |
+
"learning_rate": 1.6381944444444445e-06,
|
| 890 |
+
"loss": 1.0259,
|
| 891 |
+
"step": 59000
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.4,
|
| 895 |
+
"eval_accuracy": 0.492814371257485,
|
| 896 |
+
"eval_loss": 0.9993996620178223,
|
| 897 |
+
"eval_runtime": 21.0668,
|
| 898 |
+
"eval_samples_per_second": 237.815,
|
| 899 |
+
"eval_steps_per_second": 29.763,
|
| 900 |
+
"step": 59000
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.44,
|
| 904 |
+
"learning_rate": 1.6659722222222223e-06,
|
| 905 |
+
"loss": 1.0314,
|
| 906 |
+
"step": 60000
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 2.44,
|
| 910 |
+
"eval_accuracy": 0.48902195608782434,
|
| 911 |
+
"eval_loss": 1.0036838054656982,
|
| 912 |
+
"eval_runtime": 21.2359,
|
| 913 |
+
"eval_samples_per_second": 235.921,
|
| 914 |
+
"eval_steps_per_second": 29.525,
|
| 915 |
+
"step": 60000
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 2.49,
|
| 919 |
+
"learning_rate": 1.6937500000000003e-06,
|
| 920 |
+
"loss": 1.0276,
|
| 921 |
+
"step": 61000
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.49,
|
| 925 |
+
"eval_accuracy": 0.48502994011976047,
|
| 926 |
+
"eval_loss": 1.0065844058990479,
|
| 927 |
+
"eval_runtime": 21.07,
|
| 928 |
+
"eval_samples_per_second": 237.778,
|
| 929 |
+
"eval_steps_per_second": 29.758,
|
| 930 |
+
"step": 61000
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 2.53,
|
| 934 |
+
"learning_rate": 1.7215000000000002e-06,
|
| 935 |
+
"loss": 1.0298,
|
| 936 |
+
"step": 62000
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 2.53,
|
| 940 |
+
"eval_accuracy": 0.48263473053892214,
|
| 941 |
+
"eval_loss": 1.0085350275039673,
|
| 942 |
+
"eval_runtime": 21.4949,
|
| 943 |
+
"eval_samples_per_second": 233.079,
|
| 944 |
+
"eval_steps_per_second": 29.17,
|
| 945 |
+
"step": 62000
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 2.57,
|
| 949 |
+
"learning_rate": 1.7492777777777777e-06,
|
| 950 |
+
"loss": 1.0292,
|
| 951 |
+
"step": 63000
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 2.57,
|
| 955 |
+
"eval_accuracy": 0.49560878243512974,
|
| 956 |
+
"eval_loss": 0.9984678030014038,
|
| 957 |
+
"eval_runtime": 21.4688,
|
| 958 |
+
"eval_samples_per_second": 233.362,
|
| 959 |
+
"eval_steps_per_second": 29.205,
|
| 960 |
+
"step": 63000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 2.61,
|
| 964 |
+
"learning_rate": 1.7770277777777778e-06,
|
| 965 |
+
"loss": 1.0273,
|
| 966 |
+
"step": 64000
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 2.61,
|
| 970 |
+
"eval_accuracy": 0.4942115768463074,
|
| 971 |
+
"eval_loss": 0.9960917830467224,
|
| 972 |
+
"eval_runtime": 21.307,
|
| 973 |
+
"eval_samples_per_second": 235.134,
|
| 974 |
+
"eval_steps_per_second": 29.427,
|
| 975 |
+
"step": 64000
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.65,
|
| 979 |
+
"learning_rate": 1.8048055555555558e-06,
|
| 980 |
+
"loss": 1.0256,
|
| 981 |
+
"step": 65000
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 2.65,
|
| 985 |
+
"eval_accuracy": 0.49840319361277446,
|
| 986 |
+
"eval_loss": 0.9994720816612244,
|
| 987 |
+
"eval_runtime": 21.5116,
|
| 988 |
+
"eval_samples_per_second": 232.897,
|
| 989 |
+
"eval_steps_per_second": 29.147,
|
| 990 |
+
"step": 65000
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 2.69,
|
| 994 |
+
"learning_rate": 1.8325833333333333e-06,
|
| 995 |
+
"loss": 1.0306,
|
| 996 |
+
"step": 66000
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 2.69,
|
| 1000 |
+
"eval_accuracy": 0.49660678642714573,
|
| 1001 |
+
"eval_loss": 0.9951530694961548,
|
| 1002 |
+
"eval_runtime": 21.5301,
|
| 1003 |
+
"eval_samples_per_second": 232.697,
|
| 1004 |
+
"eval_steps_per_second": 29.122,
|
| 1005 |
+
"step": 66000
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.73,
|
| 1009 |
+
"learning_rate": 1.8603333333333334e-06,
|
| 1010 |
+
"loss": 1.0245,
|
| 1011 |
+
"step": 67000
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 2.73,
|
| 1015 |
+
"eval_accuracy": 0.499001996007984,
|
| 1016 |
+
"eval_loss": 0.9978940486907959,
|
| 1017 |
+
"eval_runtime": 21.0729,
|
| 1018 |
+
"eval_samples_per_second": 237.746,
|
| 1019 |
+
"eval_steps_per_second": 29.754,
|
| 1020 |
+
"step": 67000
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 2.77,
|
| 1024 |
+
"learning_rate": 1.8881111111111114e-06,
|
| 1025 |
+
"loss": 1.0247,
|
| 1026 |
+
"step": 68000
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.77,
|
| 1030 |
+
"eval_accuracy": 0.5,
|
| 1031 |
+
"eval_loss": 0.9951012134552002,
|
| 1032 |
+
"eval_runtime": 21.1793,
|
| 1033 |
+
"eval_samples_per_second": 236.552,
|
| 1034 |
+
"eval_steps_per_second": 29.604,
|
| 1035 |
+
"step": 68000
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 2.81,
|
| 1039 |
+
"learning_rate": 1.9158611111111115e-06,
|
| 1040 |
+
"loss": 1.0241,
|
| 1041 |
+
"step": 69000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.81,
|
| 1045 |
+
"eval_accuracy": 0.5021956087824351,
|
| 1046 |
+
"eval_loss": 0.9969767332077026,
|
| 1047 |
+
"eval_runtime": 21.2229,
|
| 1048 |
+
"eval_samples_per_second": 236.066,
|
| 1049 |
+
"eval_steps_per_second": 29.544,
|
| 1050 |
+
"step": 69000
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 2.85,
|
| 1054 |
+
"learning_rate": 1.943638888888889e-06,
|
| 1055 |
+
"loss": 1.0242,
|
| 1056 |
+
"step": 70000
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 2.85,
|
| 1060 |
+
"eval_accuracy": 0.49720558882235527,
|
| 1061 |
+
"eval_loss": 1.00163733959198,
|
| 1062 |
+
"eval_runtime": 21.0442,
|
| 1063 |
+
"eval_samples_per_second": 238.071,
|
| 1064 |
+
"eval_steps_per_second": 29.794,
|
| 1065 |
+
"step": 70000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.89,
|
| 1069 |
+
"learning_rate": 1.971416666666667e-06,
|
| 1070 |
+
"loss": 1.017,
|
| 1071 |
+
"step": 71000
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 2.89,
|
| 1075 |
+
"eval_accuracy": 0.49600798403193613,
|
| 1076 |
+
"eval_loss": 1.0031572580337524,
|
| 1077 |
+
"eval_runtime": 21.1987,
|
| 1078 |
+
"eval_samples_per_second": 236.336,
|
| 1079 |
+
"eval_steps_per_second": 29.577,
|
| 1080 |
+
"step": 71000
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 2.93,
|
| 1084 |
+
"learning_rate": 1.999166666666667e-06,
|
| 1085 |
+
"loss": 1.0237,
|
| 1086 |
+
"step": 72000
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 2.93,
|
| 1090 |
+
"eval_accuracy": 0.49001996007984033,
|
| 1091 |
+
"eval_loss": 1.0067389011383057,
|
| 1092 |
+
"eval_runtime": 21.2825,
|
| 1093 |
+
"eval_samples_per_second": 235.405,
|
| 1094 |
+
"eval_steps_per_second": 29.461,
|
| 1095 |
+
"step": 72000
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 2.97,
|
| 1099 |
+
"learning_rate": 2.0269444444444444e-06,
|
| 1100 |
+
"loss": 1.0208,
|
| 1101 |
+
"step": 73000
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 2.97,
|
| 1105 |
+
"eval_accuracy": 0.49560878243512974,
|
| 1106 |
+
"eval_loss": 1.0011804103851318,
|
| 1107 |
+
"eval_runtime": 21.137,
|
| 1108 |
+
"eval_samples_per_second": 237.025,
|
| 1109 |
+
"eval_steps_per_second": 29.664,
|
| 1110 |
+
"step": 73000
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 3.01,
|
| 1114 |
+
"learning_rate": 2.0546944444444447e-06,
|
| 1115 |
+
"loss": 1.021,
|
| 1116 |
+
"step": 74000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 3.01,
|
| 1120 |
+
"eval_accuracy": 0.49580838323353293,
|
| 1121 |
+
"eval_loss": 0.9941307902336121,
|
| 1122 |
+
"eval_runtime": 21.161,
|
| 1123 |
+
"eval_samples_per_second": 236.757,
|
| 1124 |
+
"eval_steps_per_second": 29.63,
|
| 1125 |
+
"step": 74000
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 3.06,
|
| 1129 |
+
"learning_rate": 2.0824722222222223e-06,
|
| 1130 |
+
"loss": 1.0154,
|
| 1131 |
+
"step": 75000
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 3.06,
|
| 1135 |
+
"eval_accuracy": 0.49580838323353293,
|
| 1136 |
+
"eval_loss": 0.9971462488174438,
|
| 1137 |
+
"eval_runtime": 21.0263,
|
| 1138 |
+
"eval_samples_per_second": 238.273,
|
| 1139 |
+
"eval_steps_per_second": 29.82,
|
| 1140 |
+
"step": 75000
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 3.1,
|
| 1144 |
+
"learning_rate": 2.1102222222222226e-06,
|
| 1145 |
+
"loss": 1.0173,
|
| 1146 |
+
"step": 76000
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 3.1,
|
| 1150 |
+
"eval_accuracy": 0.5011976047904192,
|
| 1151 |
+
"eval_loss": 0.9884433150291443,
|
| 1152 |
+
"eval_runtime": 21.2199,
|
| 1153 |
+
"eval_samples_per_second": 236.099,
|
| 1154 |
+
"eval_steps_per_second": 29.548,
|
| 1155 |
+
"step": 76000
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 3.14,
|
| 1159 |
+
"learning_rate": 2.138e-06,
|
| 1160 |
+
"loss": 1.0181,
|
| 1161 |
+
"step": 77000
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 3.14,
|
| 1165 |
+
"eval_accuracy": 0.4808383233532934,
|
| 1166 |
+
"eval_loss": 1.0162075757980347,
|
| 1167 |
+
"eval_runtime": 21.2108,
|
| 1168 |
+
"eval_samples_per_second": 236.201,
|
| 1169 |
+
"eval_steps_per_second": 29.56,
|
| 1170 |
+
"step": 77000
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 3.18,
|
| 1174 |
+
"learning_rate": 2.16575e-06,
|
| 1175 |
+
"loss": 1.0112,
|
| 1176 |
+
"step": 78000
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 3.18,
|
| 1180 |
+
"eval_accuracy": 0.49880239520958086,
|
| 1181 |
+
"eval_loss": 0.9902569651603699,
|
| 1182 |
+
"eval_runtime": 21.032,
|
| 1183 |
+
"eval_samples_per_second": 238.209,
|
| 1184 |
+
"eval_steps_per_second": 29.812,
|
| 1185 |
+
"step": 78000
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 3.22,
|
| 1189 |
+
"learning_rate": 2.193527777777778e-06,
|
| 1190 |
+
"loss": 1.0166,
|
| 1191 |
+
"step": 79000
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 3.22,
|
| 1195 |
+
"eval_accuracy": 0.49500998003992014,
|
| 1196 |
+
"eval_loss": 1.0056451559066772,
|
| 1197 |
+
"eval_runtime": 21.1866,
|
| 1198 |
+
"eval_samples_per_second": 236.47,
|
| 1199 |
+
"eval_steps_per_second": 29.594,
|
| 1200 |
+
"step": 79000
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 3.26,
|
| 1204 |
+
"learning_rate": 2.221277777777778e-06,
|
| 1205 |
+
"loss": 1.0135,
|
| 1206 |
+
"step": 80000
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 3.26,
|
| 1210 |
+
"eval_accuracy": 0.49161676646706587,
|
| 1211 |
+
"eval_loss": 1.004488229751587,
|
| 1212 |
+
"eval_runtime": 21.2075,
|
| 1213 |
+
"eval_samples_per_second": 236.237,
|
| 1214 |
+
"eval_steps_per_second": 29.565,
|
| 1215 |
+
"step": 80000
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 3.3,
|
| 1219 |
+
"learning_rate": 2.249055555555556e-06,
|
| 1220 |
+
"loss": 1.0147,
|
| 1221 |
+
"step": 81000
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 3.3,
|
| 1225 |
+
"eval_accuracy": 0.49101796407185627,
|
| 1226 |
+
"eval_loss": 1.0022324323654175,
|
| 1227 |
+
"eval_runtime": 21.1622,
|
| 1228 |
+
"eval_samples_per_second": 236.743,
|
| 1229 |
+
"eval_steps_per_second": 29.628,
|
| 1230 |
+
"step": 81000
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 3.34,
|
| 1234 |
+
"learning_rate": 2.2768055555555557e-06,
|
| 1235 |
+
"loss": 1.0249,
|
| 1236 |
+
"step": 82000
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 3.34,
|
| 1240 |
+
"eval_accuracy": 0.49540918163672654,
|
| 1241 |
+
"eval_loss": 0.9961836338043213,
|
| 1242 |
+
"eval_runtime": 21.2661,
|
| 1243 |
+
"eval_samples_per_second": 235.586,
|
| 1244 |
+
"eval_steps_per_second": 29.484,
|
| 1245 |
+
"step": 82000
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 3.38,
|
| 1249 |
+
"learning_rate": 2.3045833333333336e-06,
|
| 1250 |
+
"loss": 1.012,
|
| 1251 |
+
"step": 83000
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 3.38,
|
| 1255 |
+
"eval_accuracy": 0.49520958083832334,
|
| 1256 |
+
"eval_loss": 0.997968316078186,
|
| 1257 |
+
"eval_runtime": 21.1127,
|
| 1258 |
+
"eval_samples_per_second": 237.298,
|
| 1259 |
+
"eval_steps_per_second": 29.698,
|
| 1260 |
+
"step": 83000
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 3.42,
|
| 1264 |
+
"learning_rate": 2.3323333333333335e-06,
|
| 1265 |
+
"loss": 1.0153,
|
| 1266 |
+
"step": 84000
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 3.42,
|
| 1270 |
+
"eval_accuracy": 0.5063872255489021,
|
| 1271 |
+
"eval_loss": 0.9885319471359253,
|
| 1272 |
+
"eval_runtime": 21.2015,
|
| 1273 |
+
"eval_samples_per_second": 236.304,
|
| 1274 |
+
"eval_steps_per_second": 29.573,
|
| 1275 |
+
"step": 84000
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 3.46,
|
| 1279 |
+
"learning_rate": 2.360111111111111e-06,
|
| 1280 |
+
"loss": 1.0113,
|
| 1281 |
+
"step": 85000
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 3.46,
|
| 1285 |
+
"eval_accuracy": 0.49860279441117766,
|
| 1286 |
+
"eval_loss": 0.9927662014961243,
|
| 1287 |
+
"eval_runtime": 21.2447,
|
| 1288 |
+
"eval_samples_per_second": 235.823,
|
| 1289 |
+
"eval_steps_per_second": 29.513,
|
| 1290 |
+
"step": 85000
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 3.5,
|
| 1294 |
+
"learning_rate": 2.3878611111111113e-06,
|
| 1295 |
+
"loss": 1.0222,
|
| 1296 |
+
"step": 86000
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 3.5,
|
| 1300 |
+
"eval_accuracy": 0.5073852295409181,
|
| 1301 |
+
"eval_loss": 0.9855450987815857,
|
| 1302 |
+
"eval_runtime": 21.03,
|
| 1303 |
+
"eval_samples_per_second": 238.231,
|
| 1304 |
+
"eval_steps_per_second": 29.815,
|
| 1305 |
+
"step": 86000
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 3.54,
|
| 1309 |
+
"learning_rate": 2.4156388888888893e-06,
|
| 1310 |
+
"loss": 1.0062,
|
| 1311 |
+
"step": 87000
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 3.54,
|
| 1315 |
+
"eval_accuracy": 0.5075848303393213,
|
| 1316 |
+
"eval_loss": 0.9856505990028381,
|
| 1317 |
+
"eval_runtime": 21.1796,
|
| 1318 |
+
"eval_samples_per_second": 236.548,
|
| 1319 |
+
"eval_steps_per_second": 29.604,
|
| 1320 |
+
"step": 87000
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 3.59,
|
| 1324 |
+
"learning_rate": 2.443388888888889e-06,
|
| 1325 |
+
"loss": 1.0157,
|
| 1326 |
+
"step": 88000
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 3.59,
|
| 1330 |
+
"eval_accuracy": 0.5115768463073852,
|
| 1331 |
+
"eval_loss": 0.9844857454299927,
|
| 1332 |
+
"eval_runtime": 21.2024,
|
| 1333 |
+
"eval_samples_per_second": 236.294,
|
| 1334 |
+
"eval_steps_per_second": 29.572,
|
| 1335 |
+
"step": 88000
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 3.63,
|
| 1339 |
+
"learning_rate": 2.4711666666666668e-06,
|
| 1340 |
+
"loss": 1.0069,
|
| 1341 |
+
"step": 89000
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 3.63,
|
| 1345 |
+
"eval_accuracy": 0.499001996007984,
|
| 1346 |
+
"eval_loss": 0.9894497394561768,
|
| 1347 |
+
"eval_runtime": 21.2532,
|
| 1348 |
+
"eval_samples_per_second": 235.729,
|
| 1349 |
+
"eval_steps_per_second": 29.501,
|
| 1350 |
+
"step": 89000
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 3.67,
|
| 1354 |
+
"learning_rate": 2.4989166666666666e-06,
|
| 1355 |
+
"loss": 1.0164,
|
| 1356 |
+
"step": 90000
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 3.67,
|
| 1360 |
+
"eval_accuracy": 0.5101796407185629,
|
| 1361 |
+
"eval_loss": 0.9842925667762756,
|
| 1362 |
+
"eval_runtime": 21.1914,
|
| 1363 |
+
"eval_samples_per_second": 236.416,
|
| 1364 |
+
"eval_steps_per_second": 29.587,
|
| 1365 |
+
"step": 90000
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 3.71,
|
| 1369 |
+
"learning_rate": 2.5266944444444446e-06,
|
| 1370 |
+
"loss": 1.0175,
|
| 1371 |
+
"step": 91000
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 3.71,
|
| 1375 |
+
"eval_accuracy": 0.5055888223552895,
|
| 1376 |
+
"eval_loss": 0.9913986325263977,
|
| 1377 |
+
"eval_runtime": 21.0589,
|
| 1378 |
+
"eval_samples_per_second": 237.904,
|
| 1379 |
+
"eval_steps_per_second": 29.774,
|
| 1380 |
+
"step": 91000
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 3.75,
|
| 1384 |
+
"learning_rate": 2.554444444444445e-06,
|
| 1385 |
+
"loss": 1.013,
|
| 1386 |
+
"step": 92000
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 3.75,
|
| 1390 |
+
"eval_accuracy": 0.5057884231536927,
|
| 1391 |
+
"eval_loss": 0.9887382388114929,
|
| 1392 |
+
"eval_runtime": 21.2965,
|
| 1393 |
+
"eval_samples_per_second": 235.25,
|
| 1394 |
+
"eval_steps_per_second": 29.441,
|
| 1395 |
+
"step": 92000
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 3.79,
|
| 1399 |
+
"learning_rate": 2.5822222222222224e-06,
|
| 1400 |
+
"loss": 1.0157,
|
| 1401 |
+
"step": 93000
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 3.79,
|
| 1405 |
+
"eval_accuracy": 0.5127744510978044,
|
| 1406 |
+
"eval_loss": 0.9854277968406677,
|
| 1407 |
+
"eval_runtime": 21.2839,
|
| 1408 |
+
"eval_samples_per_second": 235.389,
|
| 1409 |
+
"eval_steps_per_second": 29.459,
|
| 1410 |
+
"step": 93000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 3.83,
|
| 1414 |
+
"learning_rate": 2.6099722222222223e-06,
|
| 1415 |
+
"loss": 1.0108,
|
| 1416 |
+
"step": 94000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 3.83,
|
| 1420 |
+
"eval_accuracy": 0.5039920159680639,
|
| 1421 |
+
"eval_loss": 0.9907957315444946,
|
| 1422 |
+
"eval_runtime": 21.0477,
|
| 1423 |
+
"eval_samples_per_second": 238.03,
|
| 1424 |
+
"eval_steps_per_second": 29.789,
|
| 1425 |
+
"step": 94000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 3.87,
|
| 1429 |
+
"learning_rate": 2.6377500000000003e-06,
|
| 1430 |
+
"loss": 1.0132,
|
| 1431 |
+
"step": 95000
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 3.87,
|
| 1435 |
+
"eval_accuracy": 0.5161676646706587,
|
| 1436 |
+
"eval_loss": 0.9830310940742493,
|
| 1437 |
+
"eval_runtime": 21.2625,
|
| 1438 |
+
"eval_samples_per_second": 235.626,
|
| 1439 |
+
"eval_steps_per_second": 29.489,
|
| 1440 |
+
"step": 95000
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 3.91,
|
| 1444 |
+
"learning_rate": 2.6655e-06,
|
| 1445 |
+
"loss": 1.0139,
|
| 1446 |
+
"step": 96000
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 3.91,
|
| 1450 |
+
"eval_accuracy": 0.5125748502994012,
|
| 1451 |
+
"eval_loss": 0.9806137681007385,
|
| 1452 |
+
"eval_runtime": 21.1848,
|
| 1453 |
+
"eval_samples_per_second": 236.49,
|
| 1454 |
+
"eval_steps_per_second": 29.597,
|
| 1455 |
+
"step": 96000
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 3.95,
|
| 1459 |
+
"learning_rate": 2.6932777777777777e-06,
|
| 1460 |
+
"loss": 1.0104,
|
| 1461 |
+
"step": 97000
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 3.95,
|
| 1465 |
+
"eval_accuracy": 0.49640718562874253,
|
| 1466 |
+
"eval_loss": 0.9965940117835999,
|
| 1467 |
+
"eval_runtime": 21.1145,
|
| 1468 |
+
"eval_samples_per_second": 237.278,
|
| 1469 |
+
"eval_steps_per_second": 29.695,
|
| 1470 |
+
"step": 97000
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 3.99,
|
| 1474 |
+
"learning_rate": 2.721027777777778e-06,
|
| 1475 |
+
"loss": 1.011,
|
| 1476 |
+
"step": 98000
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 3.99,
|
| 1480 |
+
"eval_accuracy": 0.49800399201596807,
|
| 1481 |
+
"eval_loss": 0.9846762418746948,
|
| 1482 |
+
"eval_runtime": 21.2444,
|
| 1483 |
+
"eval_samples_per_second": 235.827,
|
| 1484 |
+
"eval_steps_per_second": 29.514,
|
| 1485 |
+
"step": 98000
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 4.03,
|
| 1489 |
+
"learning_rate": 2.748805555555556e-06,
|
| 1490 |
+
"loss": 1.0063,
|
| 1491 |
+
"step": 99000
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 4.03,
|
| 1495 |
+
"eval_accuracy": 0.5103792415169661,
|
| 1496 |
+
"eval_loss": 0.9853057265281677,
|
| 1497 |
+
"eval_runtime": 21.0515,
|
| 1498 |
+
"eval_samples_per_second": 237.988,
|
| 1499 |
+
"eval_steps_per_second": 29.784,
|
| 1500 |
+
"step": 99000
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 4.07,
|
| 1504 |
+
"learning_rate": 2.776555555555556e-06,
|
| 1505 |
+
"loss": 1.007,
|
| 1506 |
+
"step": 100000
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 4.07,
|
| 1510 |
+
"eval_accuracy": 0.5115768463073852,
|
| 1511 |
+
"eval_loss": 0.983065128326416,
|
| 1512 |
+
"eval_runtime": 21.2494,
|
| 1513 |
+
"eval_samples_per_second": 235.771,
|
| 1514 |
+
"eval_steps_per_second": 29.507,
|
| 1515 |
+
"step": 100000
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 4.12,
|
| 1519 |
+
"learning_rate": 2.8043333333333334e-06,
|
| 1520 |
+
"loss": 1.0107,
|
| 1521 |
+
"step": 101000
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 4.12,
|
| 1525 |
+
"eval_accuracy": 0.5129740518962076,
|
| 1526 |
+
"eval_loss": 0.9863881468772888,
|
| 1527 |
+
"eval_runtime": 21.2658,
|
| 1528 |
+
"eval_samples_per_second": 235.59,
|
| 1529 |
+
"eval_steps_per_second": 29.484,
|
| 1530 |
+
"step": 101000
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 4.16,
|
| 1534 |
+
"learning_rate": 2.8320833333333333e-06,
|
| 1535 |
+
"loss": 1.0055,
|
| 1536 |
+
"step": 102000
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 4.16,
|
| 1540 |
+
"eval_accuracy": 0.49840319361277446,
|
| 1541 |
+
"eval_loss": 0.9891018867492676,
|
| 1542 |
+
"eval_runtime": 21.0702,
|
| 1543 |
+
"eval_samples_per_second": 237.777,
|
| 1544 |
+
"eval_steps_per_second": 29.758,
|
| 1545 |
+
"step": 102000
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 4.2,
|
| 1549 |
+
"learning_rate": 2.8598611111111112e-06,
|
| 1550 |
+
"loss": 1.0115,
|
| 1551 |
+
"step": 103000
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 4.2,
|
| 1555 |
+
"eval_accuracy": 0.5115768463073852,
|
| 1556 |
+
"eval_loss": 0.9800674319267273,
|
| 1557 |
+
"eval_runtime": 21.2539,
|
| 1558 |
+
"eval_samples_per_second": 235.722,
|
| 1559 |
+
"eval_steps_per_second": 29.5,
|
| 1560 |
+
"step": 103000
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 4.24,
|
| 1564 |
+
"learning_rate": 2.8876111111111115e-06,
|
| 1565 |
+
"loss": 1.0039,
|
| 1566 |
+
"step": 104000
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 4.24,
|
| 1570 |
+
"eval_accuracy": 0.49500998003992014,
|
| 1571 |
+
"eval_loss": 0.9979402422904968,
|
| 1572 |
+
"eval_runtime": 21.1981,
|
| 1573 |
+
"eval_samples_per_second": 236.342,
|
| 1574 |
+
"eval_steps_per_second": 29.578,
|
| 1575 |
+
"step": 104000
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 4.28,
|
| 1579 |
+
"learning_rate": 2.915388888888889e-06,
|
| 1580 |
+
"loss": 1.0028,
|
| 1581 |
+
"step": 105000
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 4.28,
|
| 1585 |
+
"eval_accuracy": 0.492814371257485,
|
| 1586 |
+
"eval_loss": 1.007880687713623,
|
| 1587 |
+
"eval_runtime": 21.1024,
|
| 1588 |
+
"eval_samples_per_second": 237.413,
|
| 1589 |
+
"eval_steps_per_second": 29.712,
|
| 1590 |
+
"step": 105000
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 4.32,
|
| 1594 |
+
"learning_rate": 2.943138888888889e-06,
|
| 1595 |
+
"loss": 0.9993,
|
| 1596 |
+
"step": 106000
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 4.32,
|
| 1600 |
+
"eval_accuracy": 0.513373253493014,
|
| 1601 |
+
"eval_loss": 0.9815743565559387,
|
| 1602 |
+
"eval_runtime": 21.2317,
|
| 1603 |
+
"eval_samples_per_second": 235.968,
|
| 1604 |
+
"eval_steps_per_second": 29.531,
|
| 1605 |
+
"step": 106000
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 4.36,
|
| 1609 |
+
"learning_rate": 2.9709166666666665e-06,
|
| 1610 |
+
"loss": 1.0033,
|
| 1611 |
+
"step": 107000
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 4.36,
|
| 1615 |
+
"eval_accuracy": 0.5021956087824351,
|
| 1616 |
+
"eval_loss": 0.9937964081764221,
|
| 1617 |
+
"eval_runtime": 21.2363,
|
| 1618 |
+
"eval_samples_per_second": 235.917,
|
| 1619 |
+
"eval_steps_per_second": 29.525,
|
| 1620 |
+
"step": 107000
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 4.4,
|
| 1624 |
+
"learning_rate": 2.9986666666666668e-06,
|
| 1625 |
+
"loss": 1.003,
|
| 1626 |
+
"step": 108000
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 4.4,
|
| 1630 |
+
"eval_accuracy": 0.5035928143712575,
|
| 1631 |
+
"eval_loss": 0.9884979128837585,
|
| 1632 |
+
"eval_runtime": 21.1776,
|
| 1633 |
+
"eval_samples_per_second": 236.57,
|
| 1634 |
+
"eval_steps_per_second": 29.607,
|
| 1635 |
+
"step": 108000
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 4.44,
|
| 1639 |
+
"learning_rate": 3.0264444444444448e-06,
|
| 1640 |
+
"loss": 0.9986,
|
| 1641 |
+
"step": 109000
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 4.44,
|
| 1645 |
+
"eval_accuracy": 0.5155688622754491,
|
| 1646 |
+
"eval_loss": 0.982122004032135,
|
| 1647 |
+
"eval_runtime": 21.1623,
|
| 1648 |
+
"eval_samples_per_second": 236.741,
|
| 1649 |
+
"eval_steps_per_second": 29.628,
|
| 1650 |
+
"step": 109000
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 4.48,
|
| 1654 |
+
"learning_rate": 3.0541944444444446e-06,
|
| 1655 |
+
"loss": 1.0062,
|
| 1656 |
+
"step": 110000
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 4.48,
|
| 1660 |
+
"eval_accuracy": 0.5125748502994012,
|
| 1661 |
+
"eval_loss": 0.9810440540313721,
|
| 1662 |
+
"eval_runtime": 21.0636,
|
| 1663 |
+
"eval_samples_per_second": 237.851,
|
| 1664 |
+
"eval_steps_per_second": 29.767,
|
| 1665 |
+
"step": 110000
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 4.52,
|
| 1669 |
+
"learning_rate": 3.081972222222222e-06,
|
| 1670 |
+
"loss": 0.9979,
|
| 1671 |
+
"step": 111000
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 4.52,
|
| 1675 |
+
"eval_accuracy": 0.5147704590818363,
|
| 1676 |
+
"eval_loss": 0.9768257141113281,
|
| 1677 |
+
"eval_runtime": 21.2634,
|
| 1678 |
+
"eval_samples_per_second": 235.616,
|
| 1679 |
+
"eval_steps_per_second": 29.487,
|
| 1680 |
+
"step": 111000
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 4.56,
|
| 1684 |
+
"learning_rate": 3.109722222222222e-06,
|
| 1685 |
+
"loss": 1.0098,
|
| 1686 |
+
"step": 112000
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 4.56,
|
| 1690 |
+
"eval_accuracy": 0.5179640718562875,
|
| 1691 |
+
"eval_loss": 0.9725316762924194,
|
| 1692 |
+
"eval_runtime": 21.2038,
|
| 1693 |
+
"eval_samples_per_second": 236.279,
|
| 1694 |
+
"eval_steps_per_second": 29.57,
|
| 1695 |
+
"step": 112000
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 4.6,
|
| 1699 |
+
"learning_rate": 3.1375e-06,
|
| 1700 |
+
"loss": 0.9928,
|
| 1701 |
+
"step": 113000
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 4.6,
|
| 1705 |
+
"eval_accuracy": 0.5055888223552895,
|
| 1706 |
+
"eval_loss": 0.9796192049980164,
|
| 1707 |
+
"eval_runtime": 21.0973,
|
| 1708 |
+
"eval_samples_per_second": 237.471,
|
| 1709 |
+
"eval_steps_per_second": 29.719,
|
| 1710 |
+
"step": 113000
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 4.64,
|
| 1714 |
+
"learning_rate": 3.1652500000000003e-06,
|
| 1715 |
+
"loss": 1.0021,
|
| 1716 |
+
"step": 114000
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 4.64,
|
| 1720 |
+
"eval_accuracy": 0.513373253493014,
|
| 1721 |
+
"eval_loss": 0.9703001976013184,
|
| 1722 |
+
"eval_runtime": 21.2766,
|
| 1723 |
+
"eval_samples_per_second": 235.47,
|
| 1724 |
+
"eval_steps_per_second": 29.469,
|
| 1725 |
+
"step": 114000
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 4.69,
|
| 1729 |
+
"learning_rate": 3.1930277777777783e-06,
|
| 1730 |
+
"loss": 1.0028,
|
| 1731 |
+
"step": 115000
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 4.69,
|
| 1735 |
+
"eval_accuracy": 0.5207584830339321,
|
| 1736 |
+
"eval_loss": 0.9677809476852417,
|
| 1737 |
+
"eval_runtime": 21.2537,
|
| 1738 |
+
"eval_samples_per_second": 235.724,
|
| 1739 |
+
"eval_steps_per_second": 29.501,
|
| 1740 |
+
"step": 115000
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 4.73,
|
| 1744 |
+
"learning_rate": 3.220777777777778e-06,
|
| 1745 |
+
"loss": 0.9967,
|
| 1746 |
+
"step": 116000
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 4.73,
|
| 1750 |
+
"eval_accuracy": 0.5211576846307385,
|
| 1751 |
+
"eval_loss": 0.970120906829834,
|
| 1752 |
+
"eval_runtime": 21.0552,
|
| 1753 |
+
"eval_samples_per_second": 237.946,
|
| 1754 |
+
"eval_steps_per_second": 29.779,
|
| 1755 |
+
"step": 116000
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 4.77,
|
| 1759 |
+
"learning_rate": 3.2485555555555553e-06,
|
| 1760 |
+
"loss": 1.0032,
|
| 1761 |
+
"step": 117000
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 4.77,
|
| 1765 |
+
"eval_accuracy": 0.5167664670658683,
|
| 1766 |
+
"eval_loss": 0.9775295853614807,
|
| 1767 |
+
"eval_runtime": 21.2233,
|
| 1768 |
+
"eval_samples_per_second": 236.062,
|
| 1769 |
+
"eval_steps_per_second": 29.543,
|
| 1770 |
+
"step": 117000
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 4.81,
|
| 1774 |
+
"learning_rate": 3.2763055555555556e-06,
|
| 1775 |
+
"loss": 1.0044,
|
| 1776 |
+
"step": 118000
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 4.81,
|
| 1780 |
+
"eval_accuracy": 0.5197604790419161,
|
| 1781 |
+
"eval_loss": 0.973882794380188,
|
| 1782 |
+
"eval_runtime": 21.2552,
|
| 1783 |
+
"eval_samples_per_second": 235.708,
|
| 1784 |
+
"eval_steps_per_second": 29.499,
|
| 1785 |
+
"step": 118000
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 4.85,
|
| 1789 |
+
"learning_rate": 3.3040555555555554e-06,
|
| 1790 |
+
"loss": 0.999,
|
| 1791 |
+
"step": 119000
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 4.85,
|
| 1795 |
+
"eval_accuracy": 0.5191616766467065,
|
| 1796 |
+
"eval_loss": 0.9664270281791687,
|
| 1797 |
+
"eval_runtime": 21.4118,
|
| 1798 |
+
"eval_samples_per_second": 233.983,
|
| 1799 |
+
"eval_steps_per_second": 29.283,
|
| 1800 |
+
"step": 119000
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 4.89,
|
| 1804 |
+
"learning_rate": 3.3318333333333334e-06,
|
| 1805 |
+
"loss": 1.0026,
|
| 1806 |
+
"step": 120000
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 4.89,
|
| 1810 |
+
"eval_accuracy": 0.5121756487025948,
|
| 1811 |
+
"eval_loss": 0.9835990071296692,
|
| 1812 |
+
"eval_runtime": 21.2614,
|
| 1813 |
+
"eval_samples_per_second": 235.639,
|
| 1814 |
+
"eval_steps_per_second": 29.49,
|
| 1815 |
+
"step": 120000
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 4.93,
|
| 1819 |
+
"learning_rate": 3.3596111111111114e-06,
|
| 1820 |
+
"loss": 0.9907,
|
| 1821 |
+
"step": 121000
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 4.93,
|
| 1825 |
+
"eval_accuracy": 0.518562874251497,
|
| 1826 |
+
"eval_loss": 0.9704477787017822,
|
| 1827 |
+
"eval_runtime": 21.1011,
|
| 1828 |
+
"eval_samples_per_second": 237.429,
|
| 1829 |
+
"eval_steps_per_second": 29.714,
|
| 1830 |
+
"step": 121000
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 4.97,
|
| 1834 |
+
"learning_rate": 3.3873611111111113e-06,
|
| 1835 |
+
"loss": 0.9993,
|
| 1836 |
+
"step": 122000
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 4.97,
|
| 1840 |
+
"eval_accuracy": 0.5187624750499003,
|
| 1841 |
+
"eval_loss": 0.967042863368988,
|
| 1842 |
+
"eval_runtime": 21.1973,
|
| 1843 |
+
"eval_samples_per_second": 236.35,
|
| 1844 |
+
"eval_steps_per_second": 29.579,
|
| 1845 |
+
"step": 122000
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 5.01,
|
| 1849 |
+
"learning_rate": 3.4151388888888892e-06,
|
| 1850 |
+
"loss": 0.9963,
|
| 1851 |
+
"step": 123000
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 5.01,
|
| 1855 |
+
"eval_accuracy": 0.5079840319361277,
|
| 1856 |
+
"eval_loss": 0.9776150584220886,
|
| 1857 |
+
"eval_runtime": 21.2683,
|
| 1858 |
+
"eval_samples_per_second": 235.562,
|
| 1859 |
+
"eval_steps_per_second": 29.48,
|
| 1860 |
+
"step": 123000
|
| 1861 |
+
},
|
| 1862 |
+
{
|
| 1863 |
+
"epoch": 5.05,
|
| 1864 |
+
"learning_rate": 3.4429166666666664e-06,
|
| 1865 |
+
"loss": 0.9865,
|
| 1866 |
+
"step": 124000
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 5.05,
|
| 1870 |
+
"eval_accuracy": 0.52375249500998,
|
| 1871 |
+
"eval_loss": 0.9682861566543579,
|
| 1872 |
+
"eval_runtime": 21.044,
|
| 1873 |
+
"eval_samples_per_second": 238.073,
|
| 1874 |
+
"eval_steps_per_second": 29.795,
|
| 1875 |
+
"step": 124000
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 5.09,
|
| 1879 |
+
"learning_rate": 3.4706944444444444e-06,
|
| 1880 |
+
"loss": 0.9942,
|
| 1881 |
+
"step": 125000
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 5.09,
|
| 1885 |
+
"eval_accuracy": 0.5167664670658683,
|
| 1886 |
+
"eval_loss": 0.9669526219367981,
|
| 1887 |
+
"eval_runtime": 21.3091,
|
| 1888 |
+
"eval_samples_per_second": 235.111,
|
| 1889 |
+
"eval_steps_per_second": 29.424,
|
| 1890 |
+
"step": 125000
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 5.13,
|
| 1894 |
+
"learning_rate": 3.4984444444444447e-06,
|
| 1895 |
+
"loss": 0.9931,
|
| 1896 |
+
"step": 126000
|
| 1897 |
+
},
|
| 1898 |
+
{
|
| 1899 |
+
"epoch": 5.13,
|
| 1900 |
+
"eval_accuracy": 0.52375249500998,
|
| 1901 |
+
"eval_loss": 0.9690492749214172,
|
| 1902 |
+
"eval_runtime": 21.2155,
|
| 1903 |
+
"eval_samples_per_second": 236.148,
|
| 1904 |
+
"eval_steps_per_second": 29.554,
|
| 1905 |
+
"step": 126000
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 5.17,
|
| 1909 |
+
"learning_rate": 3.5262222222222226e-06,
|
| 1910 |
+
"loss": 0.9901,
|
| 1911 |
+
"step": 127000
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 5.17,
|
| 1915 |
+
"eval_accuracy": 0.5215568862275449,
|
| 1916 |
+
"eval_loss": 0.9688431620597839,
|
| 1917 |
+
"eval_runtime": 21.0922,
|
| 1918 |
+
"eval_samples_per_second": 237.528,
|
| 1919 |
+
"eval_steps_per_second": 29.727,
|
| 1920 |
+
"step": 127000
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 5.22,
|
| 1924 |
+
"learning_rate": 3.5539722222222225e-06,
|
| 1925 |
+
"loss": 0.983,
|
| 1926 |
+
"step": 128000
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 5.22,
|
| 1930 |
+
"eval_accuracy": 0.5251497005988024,
|
| 1931 |
+
"eval_loss": 0.9629590511322021,
|
| 1932 |
+
"eval_runtime": 21.4048,
|
| 1933 |
+
"eval_samples_per_second": 234.06,
|
| 1934 |
+
"eval_steps_per_second": 29.292,
|
| 1935 |
+
"step": 128000
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 5.26,
|
| 1939 |
+
"learning_rate": 3.5817500000000005e-06,
|
| 1940 |
+
"loss": 0.9896,
|
| 1941 |
+
"step": 129000
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 5.26,
|
| 1945 |
+
"eval_accuracy": 0.5261477045908184,
|
| 1946 |
+
"eval_loss": 0.9658498167991638,
|
| 1947 |
+
"eval_runtime": 21.3795,
|
| 1948 |
+
"eval_samples_per_second": 234.337,
|
| 1949 |
+
"eval_steps_per_second": 29.327,
|
| 1950 |
+
"step": 129000
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 5.3,
|
| 1954 |
+
"learning_rate": 3.6095000000000003e-06,
|
| 1955 |
+
"loss": 0.9804,
|
| 1956 |
+
"step": 130000
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 5.3,
|
| 1960 |
+
"eval_accuracy": 0.5253493013972056,
|
| 1961 |
+
"eval_loss": 0.9743538498878479,
|
| 1962 |
+
"eval_runtime": 21.0654,
|
| 1963 |
+
"eval_samples_per_second": 237.831,
|
| 1964 |
+
"eval_steps_per_second": 29.764,
|
| 1965 |
+
"step": 130000
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 5.34,
|
| 1969 |
+
"learning_rate": 3.6372777777777775e-06,
|
| 1970 |
+
"loss": 0.9837,
|
| 1971 |
+
"step": 131000
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 5.34,
|
| 1975 |
+
"eval_accuracy": 0.5285429141716567,
|
| 1976 |
+
"eval_loss": 0.9610263109207153,
|
| 1977 |
+
"eval_runtime": 21.4995,
|
| 1978 |
+
"eval_samples_per_second": 233.029,
|
| 1979 |
+
"eval_steps_per_second": 29.163,
|
| 1980 |
+
"step": 131000
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"epoch": 5.38,
|
| 1984 |
+
"learning_rate": 3.6650277777777778e-06,
|
| 1985 |
+
"loss": 0.9837,
|
| 1986 |
+
"step": 132000
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 5.38,
|
| 1990 |
+
"eval_accuracy": 0.5261477045908184,
|
| 1991 |
+
"eval_loss": 0.9654673933982849,
|
| 1992 |
+
"eval_runtime": 21.2182,
|
| 1993 |
+
"eval_samples_per_second": 236.118,
|
| 1994 |
+
"eval_steps_per_second": 29.55,
|
| 1995 |
+
"step": 132000
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 5.42,
|
| 1999 |
+
"learning_rate": 3.6928055555555557e-06,
|
| 2000 |
+
"loss": 0.9907,
|
| 2001 |
+
"step": 133000
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 5.42,
|
| 2005 |
+
"eval_accuracy": 0.5215568862275449,
|
| 2006 |
+
"eval_loss": 0.9649068117141724,
|
| 2007 |
+
"eval_runtime": 21.1274,
|
| 2008 |
+
"eval_samples_per_second": 237.133,
|
| 2009 |
+
"eval_steps_per_second": 29.677,
|
| 2010 |
+
"step": 133000
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 5.46,
|
| 2014 |
+
"learning_rate": 3.7205555555555556e-06,
|
| 2015 |
+
"loss": 0.9873,
|
| 2016 |
+
"step": 134000
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 5.46,
|
| 2020 |
+
"eval_accuracy": 0.5213572854291417,
|
| 2021 |
+
"eval_loss": 0.9645326733589172,
|
| 2022 |
+
"eval_runtime": 21.2708,
|
| 2023 |
+
"eval_samples_per_second": 235.534,
|
| 2024 |
+
"eval_steps_per_second": 29.477,
|
| 2025 |
+
"step": 134000
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 5.5,
|
| 2029 |
+
"learning_rate": 3.7483333333333336e-06,
|
| 2030 |
+
"loss": 0.9945,
|
| 2031 |
+
"step": 135000
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 5.5,
|
| 2035 |
+
"eval_accuracy": 0.5213572854291417,
|
| 2036 |
+
"eval_loss": 0.9662097692489624,
|
| 2037 |
+
"eval_runtime": 21.2993,
|
| 2038 |
+
"eval_samples_per_second": 235.219,
|
| 2039 |
+
"eval_steps_per_second": 29.438,
|
| 2040 |
+
"step": 135000
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 5.54,
|
| 2044 |
+
"learning_rate": 3.7760833333333334e-06,
|
| 2045 |
+
"loss": 0.9904,
|
| 2046 |
+
"step": 136000
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 5.54,
|
| 2050 |
+
"eval_accuracy": 0.5213572854291417,
|
| 2051 |
+
"eval_loss": 0.9590172171592712,
|
| 2052 |
+
"eval_runtime": 21.1516,
|
| 2053 |
+
"eval_samples_per_second": 236.862,
|
| 2054 |
+
"eval_steps_per_second": 29.643,
|
| 2055 |
+
"step": 136000
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 5.58,
|
| 2059 |
+
"learning_rate": 3.8038611111111114e-06,
|
| 2060 |
+
"loss": 0.9866,
|
| 2061 |
+
"step": 137000
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 5.58,
|
| 2065 |
+
"eval_accuracy": 0.526746506986028,
|
| 2066 |
+
"eval_loss": 0.9692327976226807,
|
| 2067 |
+
"eval_runtime": 21.2988,
|
| 2068 |
+
"eval_samples_per_second": 235.224,
|
| 2069 |
+
"eval_steps_per_second": 29.438,
|
| 2070 |
+
"step": 137000
|
| 2071 |
+
},
|
| 2072 |
+
{
|
| 2073 |
+
"epoch": 5.62,
|
| 2074 |
+
"learning_rate": 3.831583333333333e-06,
|
| 2075 |
+
"loss": 0.9842,
|
| 2076 |
+
"step": 138000
|
| 2077 |
+
},
|
| 2078 |
+
{
|
| 2079 |
+
"epoch": 5.62,
|
| 2080 |
+
"eval_accuracy": 0.5243512974051896,
|
| 2081 |
+
"eval_loss": 0.9735116958618164,
|
| 2082 |
+
"eval_runtime": 21.3467,
|
| 2083 |
+
"eval_samples_per_second": 234.697,
|
| 2084 |
+
"eval_steps_per_second": 29.372,
|
| 2085 |
+
"step": 138000
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 5.66,
|
| 2089 |
+
"learning_rate": 3.859361111111111e-06,
|
| 2090 |
+
"loss": 0.9814,
|
| 2091 |
+
"step": 139000
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 5.66,
|
| 2095 |
+
"eval_accuracy": 0.525748502994012,
|
| 2096 |
+
"eval_loss": 0.9681652188301086,
|
| 2097 |
+
"eval_runtime": 21.1236,
|
| 2098 |
+
"eval_samples_per_second": 237.176,
|
| 2099 |
+
"eval_steps_per_second": 29.683,
|
| 2100 |
+
"step": 139000
|
| 2101 |
+
},
|
| 2102 |
+
{
|
| 2103 |
+
"epoch": 5.7,
|
| 2104 |
+
"learning_rate": 3.887138888888889e-06,
|
| 2105 |
+
"loss": 0.9831,
|
| 2106 |
+
"step": 140000
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 5.7,
|
| 2110 |
+
"eval_accuracy": 0.5197604790419161,
|
| 2111 |
+
"eval_loss": 0.9666500687599182,
|
| 2112 |
+
"eval_runtime": 21.235,
|
| 2113 |
+
"eval_samples_per_second": 235.931,
|
| 2114 |
+
"eval_steps_per_second": 29.527,
|
| 2115 |
+
"step": 140000
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 5.74,
|
| 2119 |
+
"learning_rate": 3.914888888888889e-06,
|
| 2120 |
+
"loss": 0.9838,
|
| 2121 |
+
"step": 141000
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 5.74,
|
| 2125 |
+
"eval_accuracy": 0.5339321357285429,
|
| 2126 |
+
"eval_loss": 0.9595745801925659,
|
| 2127 |
+
"eval_runtime": 21.2241,
|
| 2128 |
+
"eval_samples_per_second": 236.053,
|
| 2129 |
+
"eval_steps_per_second": 29.542,
|
| 2130 |
+
"step": 141000
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 5.79,
|
| 2134 |
+
"learning_rate": 3.942666666666667e-06,
|
| 2135 |
+
"loss": 0.9825,
|
| 2136 |
+
"step": 142000
|
| 2137 |
+
},
|
| 2138 |
+
{
|
| 2139 |
+
"epoch": 5.79,
|
| 2140 |
+
"eval_accuracy": 0.5271457085828344,
|
| 2141 |
+
"eval_loss": 0.9641498327255249,
|
| 2142 |
+
"eval_runtime": 21.3787,
|
| 2143 |
+
"eval_samples_per_second": 234.345,
|
| 2144 |
+
"eval_steps_per_second": 29.328,
|
| 2145 |
+
"step": 142000
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 5.83,
|
| 2149 |
+
"learning_rate": 3.970444444444445e-06,
|
| 2150 |
+
"loss": 0.979,
|
| 2151 |
+
"step": 143000
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 5.83,
|
| 2155 |
+
"eval_accuracy": 0.5339321357285429,
|
| 2156 |
+
"eval_loss": 0.9592242240905762,
|
| 2157 |
+
"eval_runtime": 21.4402,
|
| 2158 |
+
"eval_samples_per_second": 233.674,
|
| 2159 |
+
"eval_steps_per_second": 29.244,
|
| 2160 |
+
"step": 143000
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"epoch": 5.87,
|
| 2164 |
+
"learning_rate": 3.998222222222223e-06,
|
| 2165 |
+
"loss": 0.9789,
|
| 2166 |
+
"step": 144000
|
| 2167 |
+
},
|
| 2168 |
+
{
|
| 2169 |
+
"epoch": 5.87,
|
| 2170 |
+
"eval_accuracy": 0.5407185628742515,
|
| 2171 |
+
"eval_loss": 0.9519925117492676,
|
| 2172 |
+
"eval_runtime": 21.3053,
|
| 2173 |
+
"eval_samples_per_second": 235.152,
|
| 2174 |
+
"eval_steps_per_second": 29.429,
|
| 2175 |
+
"step": 144000
|
| 2176 |
+
}
|
| 2177 |
+
],
|
| 2178 |
+
"logging_steps": 1000,
|
| 2179 |
+
"max_steps": 10000000,
|
| 2180 |
+
"num_train_epochs": 408,
|
| 2181 |
+
"save_steps": 1000,
|
| 2182 |
+
"total_flos": 1.0034204656140288e+17,
|
| 2183 |
+
"trial_name": null,
|
| 2184 |
+
"trial_params": null
|
| 2185 |
+
}
|
checkpoint-144000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d42437e01c6a8e691de275f2b2ef4e9ee68d60c829bca2508adb832bd55170f9
|
| 3 |
+
size 4027
|
checkpoint-144000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|