Training in progress, step 45000, checkpoint
Browse files- checkpoint-45000/added_tokens.json +5 -0
- checkpoint-45000/config.json +46 -0
- checkpoint-45000/merges.txt +0 -0
- checkpoint-45000/optimizer.pt +3 -0
- checkpoint-45000/pytorch_model.bin +3 -0
- checkpoint-45000/rng_state.pth +3 -0
- checkpoint-45000/scheduler.pt +3 -0
- checkpoint-45000/special_tokens_map.json +6 -0
- checkpoint-45000/tokenizer_config.json +7 -0
- checkpoint-45000/trainer_state.json +700 -0
- checkpoint-45000/training_args.bin +3 -0
- checkpoint-45000/vocab.json +0 -0
checkpoint-45000/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<bos>": 40478,
|
| 3 |
+
"<eos>": 40479,
|
| 4 |
+
"<pad>": 40480
|
| 5 |
+
}
|
checkpoint-45000/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": 24,
|
| 25 |
+
"n_layer": 12,
|
| 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": "cls_index",
|
| 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-45000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-45000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6e4519591ca7a567f7877dcd64e122a7bf1f6137cbf801756a43943a759f92e
|
| 3 |
+
size 932401285
|
checkpoint-45000/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33044f7fb47b860edc5f09535d604a178e682cd3fa2e634adafeb2632f8fe92b
|
| 3 |
+
size 466205145
|
checkpoint-45000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e29c291214c063e62347cec9fc0d31ecde4e110d7fa0aad193a510741b91565
|
| 3 |
+
size 14575
|
checkpoint-45000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fa877eb0cfc96058a55ed4227f587942d6004c08a22a1283251dab92228a00f
|
| 3 |
+
size 627
|
checkpoint-45000/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-45000/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-45000/trainer_state.json
ADDED
|
@@ -0,0 +1,700 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.0064666271209717,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-44000",
|
| 4 |
+
"epoch": 1.8334419817470664,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 45000,
|
| 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": 1.1506,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 2.7750000000000004e-08,
|
| 20 |
+
"loss": 1.1326,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.04,
|
| 25 |
+
"eval_accuracy": 0.3331337325349301,
|
| 26 |
+
"eval_loss": 1.1057127714157104,
|
| 27 |
+
"eval_runtime": 61.3538,
|
| 28 |
+
"eval_samples_per_second": 81.657,
|
| 29 |
+
"eval_steps_per_second": 10.219,
|
| 30 |
+
"step": 1000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08,
|
| 34 |
+
"learning_rate": 5.5527777777777784e-08,
|
| 35 |
+
"loss": 1.1238,
|
| 36 |
+
"step": 2000
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.08,
|
| 40 |
+
"eval_accuracy": 0.33812375249501,
|
| 41 |
+
"eval_loss": 1.1044437885284424,
|
| 42 |
+
"eval_runtime": 61.256,
|
| 43 |
+
"eval_samples_per_second": 81.788,
|
| 44 |
+
"eval_steps_per_second": 10.236,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 8.327777777777778e-08,
|
| 50 |
+
"loss": 1.1251,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.12,
|
| 55 |
+
"eval_accuracy": 0.3407185628742515,
|
| 56 |
+
"eval_loss": 1.1043975353240967,
|
| 57 |
+
"eval_runtime": 61.2433,
|
| 58 |
+
"eval_samples_per_second": 81.805,
|
| 59 |
+
"eval_steps_per_second": 10.238,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.16,
|
| 64 |
+
"learning_rate": 1.1105555555555557e-07,
|
| 65 |
+
"loss": 1.1205,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16,
|
| 70 |
+
"eval_accuracy": 0.3387225548902196,
|
| 71 |
+
"eval_loss": 1.100860357284546,
|
| 72 |
+
"eval_runtime": 61.4457,
|
| 73 |
+
"eval_samples_per_second": 81.535,
|
| 74 |
+
"eval_steps_per_second": 10.204,
|
| 75 |
+
"step": 4000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 1.3880555555555558e-07,
|
| 80 |
+
"loss": 1.1192,
|
| 81 |
+
"step": 5000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.2,
|
| 85 |
+
"eval_accuracy": 0.34151696606786425,
|
| 86 |
+
"eval_loss": 1.1005476713180542,
|
| 87 |
+
"eval_runtime": 61.2568,
|
| 88 |
+
"eval_samples_per_second": 81.787,
|
| 89 |
+
"eval_steps_per_second": 10.236,
|
| 90 |
+
"step": 5000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.24,
|
| 94 |
+
"learning_rate": 1.6658333333333335e-07,
|
| 95 |
+
"loss": 1.1145,
|
| 96 |
+
"step": 6000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.24,
|
| 100 |
+
"eval_accuracy": 0.3508982035928144,
|
| 101 |
+
"eval_loss": 1.0979759693145752,
|
| 102 |
+
"eval_runtime": 61.2221,
|
| 103 |
+
"eval_samples_per_second": 81.833,
|
| 104 |
+
"eval_steps_per_second": 10.241,
|
| 105 |
+
"step": 6000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 1.9433333333333334e-07,
|
| 110 |
+
"loss": 1.1164,
|
| 111 |
+
"step": 7000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.29,
|
| 115 |
+
"eval_accuracy": 0.35508982035928144,
|
| 116 |
+
"eval_loss": 1.0955135822296143,
|
| 117 |
+
"eval_runtime": 61.255,
|
| 118 |
+
"eval_samples_per_second": 81.789,
|
| 119 |
+
"eval_steps_per_second": 10.236,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.33,
|
| 124 |
+
"learning_rate": 2.2211111111111114e-07,
|
| 125 |
+
"loss": 1.1091,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.33,
|
| 130 |
+
"eval_accuracy": 0.36147704590818364,
|
| 131 |
+
"eval_loss": 1.0946425199508667,
|
| 132 |
+
"eval_runtime": 61.3011,
|
| 133 |
+
"eval_samples_per_second": 81.728,
|
| 134 |
+
"eval_steps_per_second": 10.228,
|
| 135 |
+
"step": 8000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 2.4986111111111113e-07,
|
| 140 |
+
"loss": 1.107,
|
| 141 |
+
"step": 9000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.37,
|
| 145 |
+
"eval_accuracy": 0.3471057884231537,
|
| 146 |
+
"eval_loss": 1.10226309299469,
|
| 147 |
+
"eval_runtime": 61.3193,
|
| 148 |
+
"eval_samples_per_second": 81.703,
|
| 149 |
+
"eval_steps_per_second": 10.225,
|
| 150 |
+
"step": 9000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.41,
|
| 154 |
+
"learning_rate": 2.776388888888889e-07,
|
| 155 |
+
"loss": 1.1055,
|
| 156 |
+
"step": 10000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.41,
|
| 160 |
+
"eval_accuracy": 0.3774451097804391,
|
| 161 |
+
"eval_loss": 1.0922847986221313,
|
| 162 |
+
"eval_runtime": 61.1866,
|
| 163 |
+
"eval_samples_per_second": 81.881,
|
| 164 |
+
"eval_steps_per_second": 10.247,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.45,
|
| 169 |
+
"learning_rate": 3.0541666666666667e-07,
|
| 170 |
+
"loss": 1.1028,
|
| 171 |
+
"step": 11000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.45,
|
| 175 |
+
"eval_accuracy": 0.37425149700598803,
|
| 176 |
+
"eval_loss": 1.0914534330368042,
|
| 177 |
+
"eval_runtime": 61.341,
|
| 178 |
+
"eval_samples_per_second": 81.675,
|
| 179 |
+
"eval_steps_per_second": 10.222,
|
| 180 |
+
"step": 11000
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.49,
|
| 184 |
+
"learning_rate": 3.3319444444444444e-07,
|
| 185 |
+
"loss": 1.1024,
|
| 186 |
+
"step": 12000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.49,
|
| 190 |
+
"eval_accuracy": 0.3872255489021956,
|
| 191 |
+
"eval_loss": 1.0888582468032837,
|
| 192 |
+
"eval_runtime": 61.4245,
|
| 193 |
+
"eval_samples_per_second": 81.564,
|
| 194 |
+
"eval_steps_per_second": 10.208,
|
| 195 |
+
"step": 12000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.53,
|
| 199 |
+
"learning_rate": 3.6094444444444446e-07,
|
| 200 |
+
"loss": 1.1015,
|
| 201 |
+
"step": 13000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.53,
|
| 205 |
+
"eval_accuracy": 0.3397205588822355,
|
| 206 |
+
"eval_loss": 1.096097707748413,
|
| 207 |
+
"eval_runtime": 61.3257,
|
| 208 |
+
"eval_samples_per_second": 81.695,
|
| 209 |
+
"eval_steps_per_second": 10.224,
|
| 210 |
+
"step": 13000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.57,
|
| 214 |
+
"learning_rate": 3.8872222222222223e-07,
|
| 215 |
+
"loss": 1.1,
|
| 216 |
+
"step": 14000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.57,
|
| 220 |
+
"eval_accuracy": 0.36387225548902197,
|
| 221 |
+
"eval_loss": 1.0940359830856323,
|
| 222 |
+
"eval_runtime": 61.2945,
|
| 223 |
+
"eval_samples_per_second": 81.737,
|
| 224 |
+
"eval_steps_per_second": 10.229,
|
| 225 |
+
"step": 14000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.61,
|
| 229 |
+
"learning_rate": 4.1650000000000006e-07,
|
| 230 |
+
"loss": 1.0997,
|
| 231 |
+
"step": 15000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.61,
|
| 235 |
+
"eval_accuracy": 0.38602794411177643,
|
| 236 |
+
"eval_loss": 1.0880299806594849,
|
| 237 |
+
"eval_runtime": 61.2546,
|
| 238 |
+
"eval_samples_per_second": 81.79,
|
| 239 |
+
"eval_steps_per_second": 10.236,
|
| 240 |
+
"step": 15000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.65,
|
| 244 |
+
"learning_rate": 4.4425e-07,
|
| 245 |
+
"loss": 1.0987,
|
| 246 |
+
"step": 16000
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.65,
|
| 250 |
+
"eval_accuracy": 0.38962075848303396,
|
| 251 |
+
"eval_loss": 1.0837221145629883,
|
| 252 |
+
"eval_runtime": 61.1947,
|
| 253 |
+
"eval_samples_per_second": 81.87,
|
| 254 |
+
"eval_steps_per_second": 10.246,
|
| 255 |
+
"step": 16000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.69,
|
| 259 |
+
"learning_rate": 4.7202777777777785e-07,
|
| 260 |
+
"loss": 1.0943,
|
| 261 |
+
"step": 17000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.69,
|
| 265 |
+
"eval_accuracy": 0.4033932135728543,
|
| 266 |
+
"eval_loss": 1.081850290298462,
|
| 267 |
+
"eval_runtime": 61.2293,
|
| 268 |
+
"eval_samples_per_second": 81.824,
|
| 269 |
+
"eval_steps_per_second": 10.24,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.73,
|
| 274 |
+
"learning_rate": 4.997777777777779e-07,
|
| 275 |
+
"loss": 1.0966,
|
| 276 |
+
"step": 18000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.73,
|
| 280 |
+
"eval_accuracy": 0.4031936127744511,
|
| 281 |
+
"eval_loss": 1.0839308500289917,
|
| 282 |
+
"eval_runtime": 61.2192,
|
| 283 |
+
"eval_samples_per_second": 81.837,
|
| 284 |
+
"eval_steps_per_second": 10.242,
|
| 285 |
+
"step": 18000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.77,
|
| 289 |
+
"learning_rate": 5.275555555555556e-07,
|
| 290 |
+
"loss": 1.0935,
|
| 291 |
+
"step": 19000
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.77,
|
| 295 |
+
"eval_accuracy": 0.40099800399201596,
|
| 296 |
+
"eval_loss": 1.0814112424850464,
|
| 297 |
+
"eval_runtime": 61.1921,
|
| 298 |
+
"eval_samples_per_second": 81.873,
|
| 299 |
+
"eval_steps_per_second": 10.246,
|
| 300 |
+
"step": 19000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.81,
|
| 304 |
+
"learning_rate": 5.553055555555556e-07,
|
| 305 |
+
"loss": 1.0939,
|
| 306 |
+
"step": 20000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.81,
|
| 310 |
+
"eval_accuracy": 0.39241516966067863,
|
| 311 |
+
"eval_loss": 1.0840386152267456,
|
| 312 |
+
"eval_runtime": 61.2683,
|
| 313 |
+
"eval_samples_per_second": 81.772,
|
| 314 |
+
"eval_steps_per_second": 10.234,
|
| 315 |
+
"step": 20000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.86,
|
| 319 |
+
"learning_rate": 5.830833333333334e-07,
|
| 320 |
+
"loss": 1.0917,
|
| 321 |
+
"step": 21000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.86,
|
| 325 |
+
"eval_accuracy": 0.38303393213572856,
|
| 326 |
+
"eval_loss": 1.083555817604065,
|
| 327 |
+
"eval_runtime": 61.2974,
|
| 328 |
+
"eval_samples_per_second": 81.733,
|
| 329 |
+
"eval_steps_per_second": 10.229,
|
| 330 |
+
"step": 21000
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.9,
|
| 334 |
+
"learning_rate": 6.108333333333333e-07,
|
| 335 |
+
"loss": 1.0926,
|
| 336 |
+
"step": 22000
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.9,
|
| 340 |
+
"eval_accuracy": 0.39481037924151696,
|
| 341 |
+
"eval_loss": 1.080513834953308,
|
| 342 |
+
"eval_runtime": 61.4078,
|
| 343 |
+
"eval_samples_per_second": 81.586,
|
| 344 |
+
"eval_steps_per_second": 10.21,
|
| 345 |
+
"step": 22000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.94,
|
| 349 |
+
"learning_rate": 6.386111111111112e-07,
|
| 350 |
+
"loss": 1.09,
|
| 351 |
+
"step": 23000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.94,
|
| 355 |
+
"eval_accuracy": 0.4115768463073852,
|
| 356 |
+
"eval_loss": 1.076084017753601,
|
| 357 |
+
"eval_runtime": 61.6647,
|
| 358 |
+
"eval_samples_per_second": 81.246,
|
| 359 |
+
"eval_steps_per_second": 10.168,
|
| 360 |
+
"step": 23000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.98,
|
| 364 |
+
"learning_rate": 6.663888888888889e-07,
|
| 365 |
+
"loss": 1.0879,
|
| 366 |
+
"step": 24000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.98,
|
| 370 |
+
"eval_accuracy": 0.42734530938123755,
|
| 371 |
+
"eval_loss": 1.0709619522094727,
|
| 372 |
+
"eval_runtime": 61.3291,
|
| 373 |
+
"eval_samples_per_second": 81.69,
|
| 374 |
+
"eval_steps_per_second": 10.224,
|
| 375 |
+
"step": 24000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.02,
|
| 379 |
+
"learning_rate": 6.94138888888889e-07,
|
| 380 |
+
"loss": 1.0846,
|
| 381 |
+
"step": 25000
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.02,
|
| 385 |
+
"eval_accuracy": 0.417564870259481,
|
| 386 |
+
"eval_loss": 1.0698238611221313,
|
| 387 |
+
"eval_runtime": 61.3091,
|
| 388 |
+
"eval_samples_per_second": 81.717,
|
| 389 |
+
"eval_steps_per_second": 10.227,
|
| 390 |
+
"step": 25000
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.06,
|
| 394 |
+
"learning_rate": 7.219166666666666e-07,
|
| 395 |
+
"loss": 1.0821,
|
| 396 |
+
"step": 26000
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.06,
|
| 400 |
+
"eval_accuracy": 0.43313373253493015,
|
| 401 |
+
"eval_loss": 1.065280795097351,
|
| 402 |
+
"eval_runtime": 61.4486,
|
| 403 |
+
"eval_samples_per_second": 81.532,
|
| 404 |
+
"eval_steps_per_second": 10.204,
|
| 405 |
+
"step": 26000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.1,
|
| 409 |
+
"learning_rate": 7.496666666666667e-07,
|
| 410 |
+
"loss": 1.078,
|
| 411 |
+
"step": 27000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1,
|
| 415 |
+
"eval_accuracy": 0.4367265469061876,
|
| 416 |
+
"eval_loss": 1.059377908706665,
|
| 417 |
+
"eval_runtime": 61.6257,
|
| 418 |
+
"eval_samples_per_second": 81.297,
|
| 419 |
+
"eval_steps_per_second": 10.174,
|
| 420 |
+
"step": 27000
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.14,
|
| 424 |
+
"learning_rate": 7.774444444444445e-07,
|
| 425 |
+
"loss": 1.0707,
|
| 426 |
+
"step": 28000
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.14,
|
| 430 |
+
"eval_accuracy": 0.437125748502994,
|
| 431 |
+
"eval_loss": 1.0536556243896484,
|
| 432 |
+
"eval_runtime": 61.8255,
|
| 433 |
+
"eval_samples_per_second": 81.035,
|
| 434 |
+
"eval_steps_per_second": 10.141,
|
| 435 |
+
"step": 28000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.18,
|
| 439 |
+
"learning_rate": 8.051944444444445e-07,
|
| 440 |
+
"loss": 1.0658,
|
| 441 |
+
"step": 29000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.18,
|
| 445 |
+
"eval_accuracy": 0.4425149700598802,
|
| 446 |
+
"eval_loss": 1.0465552806854248,
|
| 447 |
+
"eval_runtime": 61.6813,
|
| 448 |
+
"eval_samples_per_second": 81.224,
|
| 449 |
+
"eval_steps_per_second": 10.165,
|
| 450 |
+
"step": 29000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.22,
|
| 454 |
+
"learning_rate": 8.329722222222223e-07,
|
| 455 |
+
"loss": 1.0596,
|
| 456 |
+
"step": 30000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.22,
|
| 460 |
+
"eval_accuracy": 0.44011976047904194,
|
| 461 |
+
"eval_loss": 1.042420506477356,
|
| 462 |
+
"eval_runtime": 61.7796,
|
| 463 |
+
"eval_samples_per_second": 81.095,
|
| 464 |
+
"eval_steps_per_second": 10.149,
|
| 465 |
+
"step": 30000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.26,
|
| 469 |
+
"learning_rate": 8.607222222222223e-07,
|
| 470 |
+
"loss": 1.0665,
|
| 471 |
+
"step": 31000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.26,
|
| 475 |
+
"eval_accuracy": 0.44011976047904194,
|
| 476 |
+
"eval_loss": 1.0469056367874146,
|
| 477 |
+
"eval_runtime": 62.7365,
|
| 478 |
+
"eval_samples_per_second": 79.858,
|
| 479 |
+
"eval_steps_per_second": 9.994,
|
| 480 |
+
"step": 31000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.3,
|
| 484 |
+
"learning_rate": 8.885e-07,
|
| 485 |
+
"loss": 1.0586,
|
| 486 |
+
"step": 32000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3,
|
| 490 |
+
"eval_accuracy": 0.4363273453093812,
|
| 491 |
+
"eval_loss": 1.041648507118225,
|
| 492 |
+
"eval_runtime": 61.7699,
|
| 493 |
+
"eval_samples_per_second": 81.107,
|
| 494 |
+
"eval_steps_per_second": 10.151,
|
| 495 |
+
"step": 32000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.34,
|
| 499 |
+
"learning_rate": 9.162500000000001e-07,
|
| 500 |
+
"loss": 1.0579,
|
| 501 |
+
"step": 33000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.34,
|
| 505 |
+
"eval_accuracy": 0.44550898203592815,
|
| 506 |
+
"eval_loss": 1.0353455543518066,
|
| 507 |
+
"eval_runtime": 61.7392,
|
| 508 |
+
"eval_samples_per_second": 81.148,
|
| 509 |
+
"eval_steps_per_second": 10.156,
|
| 510 |
+
"step": 33000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.39,
|
| 514 |
+
"learning_rate": 9.440277777777779e-07,
|
| 515 |
+
"loss": 1.0499,
|
| 516 |
+
"step": 34000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.39,
|
| 520 |
+
"eval_accuracy": 0.45109780439121755,
|
| 521 |
+
"eval_loss": 1.0313138961791992,
|
| 522 |
+
"eval_runtime": 61.661,
|
| 523 |
+
"eval_samples_per_second": 81.251,
|
| 524 |
+
"eval_steps_per_second": 10.169,
|
| 525 |
+
"step": 34000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.43,
|
| 529 |
+
"learning_rate": 9.718055555555557e-07,
|
| 530 |
+
"loss": 1.0551,
|
| 531 |
+
"step": 35000
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.43,
|
| 535 |
+
"eval_accuracy": 0.4481037924151697,
|
| 536 |
+
"eval_loss": 1.0282059907913208,
|
| 537 |
+
"eval_runtime": 61.7111,
|
| 538 |
+
"eval_samples_per_second": 81.185,
|
| 539 |
+
"eval_steps_per_second": 10.16,
|
| 540 |
+
"step": 35000
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.47,
|
| 544 |
+
"learning_rate": 9.995555555555557e-07,
|
| 545 |
+
"loss": 1.0509,
|
| 546 |
+
"step": 36000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.47,
|
| 550 |
+
"eval_accuracy": 0.4568862275449102,
|
| 551 |
+
"eval_loss": 1.0246349573135376,
|
| 552 |
+
"eval_runtime": 61.4536,
|
| 553 |
+
"eval_samples_per_second": 81.525,
|
| 554 |
+
"eval_steps_per_second": 10.203,
|
| 555 |
+
"step": 36000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.51,
|
| 559 |
+
"learning_rate": 1.0273333333333335e-06,
|
| 560 |
+
"loss": 1.0486,
|
| 561 |
+
"step": 37000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.51,
|
| 565 |
+
"eval_accuracy": 0.45868263473053894,
|
| 566 |
+
"eval_loss": 1.0200064182281494,
|
| 567 |
+
"eval_runtime": 61.3644,
|
| 568 |
+
"eval_samples_per_second": 81.643,
|
| 569 |
+
"eval_steps_per_second": 10.218,
|
| 570 |
+
"step": 37000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.55,
|
| 574 |
+
"learning_rate": 1.0550833333333334e-06,
|
| 575 |
+
"loss": 1.0468,
|
| 576 |
+
"step": 38000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.55,
|
| 580 |
+
"eval_accuracy": 0.4564870259481038,
|
| 581 |
+
"eval_loss": 1.0205750465393066,
|
| 582 |
+
"eval_runtime": 61.6145,
|
| 583 |
+
"eval_samples_per_second": 81.312,
|
| 584 |
+
"eval_steps_per_second": 10.176,
|
| 585 |
+
"step": 38000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.59,
|
| 589 |
+
"learning_rate": 1.0828611111111111e-06,
|
| 590 |
+
"loss": 1.0464,
|
| 591 |
+
"step": 39000
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.59,
|
| 595 |
+
"eval_accuracy": 0.4554890219560878,
|
| 596 |
+
"eval_loss": 1.021471619606018,
|
| 597 |
+
"eval_runtime": 61.6216,
|
| 598 |
+
"eval_samples_per_second": 81.303,
|
| 599 |
+
"eval_steps_per_second": 10.175,
|
| 600 |
+
"step": 39000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.63,
|
| 604 |
+
"learning_rate": 1.1106111111111112e-06,
|
| 605 |
+
"loss": 1.0374,
|
| 606 |
+
"step": 40000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.63,
|
| 610 |
+
"eval_accuracy": 0.45728542914171655,
|
| 611 |
+
"eval_loss": 1.0143259763717651,
|
| 612 |
+
"eval_runtime": 61.6469,
|
| 613 |
+
"eval_samples_per_second": 81.269,
|
| 614 |
+
"eval_steps_per_second": 10.171,
|
| 615 |
+
"step": 40000
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 1.67,
|
| 619 |
+
"learning_rate": 1.138388888888889e-06,
|
| 620 |
+
"loss": 1.0427,
|
| 621 |
+
"step": 41000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 1.67,
|
| 625 |
+
"eval_accuracy": 0.45848303393213574,
|
| 626 |
+
"eval_loss": 1.0229008197784424,
|
| 627 |
+
"eval_runtime": 61.4018,
|
| 628 |
+
"eval_samples_per_second": 81.594,
|
| 629 |
+
"eval_steps_per_second": 10.211,
|
| 630 |
+
"step": 41000
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 1.71,
|
| 634 |
+
"learning_rate": 1.166138888888889e-06,
|
| 635 |
+
"loss": 1.0359,
|
| 636 |
+
"step": 42000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 1.71,
|
| 640 |
+
"eval_accuracy": 0.4674650698602794,
|
| 641 |
+
"eval_loss": 1.0088660717010498,
|
| 642 |
+
"eval_runtime": 61.4607,
|
| 643 |
+
"eval_samples_per_second": 81.515,
|
| 644 |
+
"eval_steps_per_second": 10.202,
|
| 645 |
+
"step": 42000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 1.75,
|
| 649 |
+
"learning_rate": 1.1939166666666668e-06,
|
| 650 |
+
"loss": 1.0382,
|
| 651 |
+
"step": 43000
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.75,
|
| 655 |
+
"eval_accuracy": 0.4489021956087824,
|
| 656 |
+
"eval_loss": 1.0299837589263916,
|
| 657 |
+
"eval_runtime": 61.6434,
|
| 658 |
+
"eval_samples_per_second": 81.274,
|
| 659 |
+
"eval_steps_per_second": 10.171,
|
| 660 |
+
"step": 43000
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.79,
|
| 664 |
+
"learning_rate": 1.2216944444444446e-06,
|
| 665 |
+
"loss": 1.0381,
|
| 666 |
+
"step": 44000
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 1.79,
|
| 670 |
+
"eval_accuracy": 0.4786427145708583,
|
| 671 |
+
"eval_loss": 1.0064666271209717,
|
| 672 |
+
"eval_runtime": 61.6779,
|
| 673 |
+
"eval_samples_per_second": 81.228,
|
| 674 |
+
"eval_steps_per_second": 10.166,
|
| 675 |
+
"step": 44000
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.83,
|
| 679 |
+
"learning_rate": 1.2494444444444447e-06,
|
| 680 |
+
"loss": 1.0369,
|
| 681 |
+
"step": 45000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.83,
|
| 685 |
+
"eval_accuracy": 0.4716566866267465,
|
| 686 |
+
"eval_loss": 1.0102956295013428,
|
| 687 |
+
"eval_runtime": 61.6864,
|
| 688 |
+
"eval_samples_per_second": 81.217,
|
| 689 |
+
"eval_steps_per_second": 10.164,
|
| 690 |
+
"step": 45000
|
| 691 |
+
}
|
| 692 |
+
],
|
| 693 |
+
"logging_steps": 1000,
|
| 694 |
+
"max_steps": 10000000,
|
| 695 |
+
"num_train_epochs": 408,
|
| 696 |
+
"save_steps": 1000,
|
| 697 |
+
"total_flos": 9.40657195721687e+16,
|
| 698 |
+
"trial_name": null,
|
| 699 |
+
"trial_params": null
|
| 700 |
+
}
|
checkpoint-45000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e31537d78ddfb65ec62a3bb3689996ba9eab16c9072c351cad313c78d3b7a608
|
| 3 |
+
size 4091
|
checkpoint-45000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|