Upload model files
Browse files- config.json +31 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +1465 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "deepset/gelectra-large",
|
3 |
+
"architectures": [
|
4 |
+
"ElectraForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"embedding_size": 1024,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 4096,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"max_position_embeddings": 512,
|
16 |
+
"model_type": "electra",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"problem_type": "single_label_classification",
|
22 |
+
"summary_activation": "gelu",
|
23 |
+
"summary_last_dropout": 0.1,
|
24 |
+
"summary_type": "first",
|
25 |
+
"summary_use_proj": true,
|
26 |
+
"torch_dtype": "float32",
|
27 |
+
"transformers_version": "4.32.0",
|
28 |
+
"type_vocab_size": 2,
|
29 |
+
"use_cache": true,
|
30 |
+
"vocab_size": 31102
|
31 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d613e7b17cd14664663f88952a2b1641c0123b3a200c1755ed9bc7d07305cb01
|
3 |
+
size 2686231352
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b44e96a636082a086fb2929ef6c872199c14ece574bbbbc968dda4d81cc4840
|
3 |
+
size 1343087025
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a9fb0acb3ffc9440a147beeb0054bd2dbd2e49b42e8a7e972376d9399f27f397
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:50bfc4db7dd4a88e8db8c4692609b79e38de4f41d75bcaa19ed03152bdd08664
|
3 |
+
size 627
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"clean_up_tokenization_spaces": true,
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"do_basic_tokenize": true,
|
5 |
+
"do_lower_case": false,
|
6 |
+
"mask_token": "[MASK]",
|
7 |
+
"max_len": 512,
|
8 |
+
"model_max_length": 512,
|
9 |
+
"never_split": null,
|
10 |
+
"pad_token": "[PAD]",
|
11 |
+
"sep_token": "[SEP]",
|
12 |
+
"strip_accents": false,
|
13 |
+
"tokenize_chinese_chars": true,
|
14 |
+
"tokenizer_class": "ElectraTokenizer",
|
15 |
+
"unk_token": "[UNK]"
|
16 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1465 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2010,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"learning_rate": 9.950248756218906e-06,
|
14 |
+
"loss": 0.6611,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.05,
|
19 |
+
"learning_rate": 9.900497512437812e-06,
|
20 |
+
"loss": 0.6622,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.07,
|
25 |
+
"learning_rate": 9.850746268656717e-06,
|
26 |
+
"loss": 0.6558,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.1,
|
31 |
+
"learning_rate": 9.800995024875622e-06,
|
32 |
+
"loss": 0.6535,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.12,
|
37 |
+
"learning_rate": 9.751243781094527e-06,
|
38 |
+
"loss": 0.6359,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.15,
|
43 |
+
"learning_rate": 9.701492537313434e-06,
|
44 |
+
"loss": 0.6274,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.17,
|
49 |
+
"learning_rate": 9.651741293532339e-06,
|
50 |
+
"loss": 0.6193,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.2,
|
55 |
+
"learning_rate": 9.601990049751244e-06,
|
56 |
+
"loss": 0.5715,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.22,
|
61 |
+
"learning_rate": 9.552238805970149e-06,
|
62 |
+
"loss": 0.5749,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.25,
|
67 |
+
"learning_rate": 9.502487562189056e-06,
|
68 |
+
"loss": 0.536,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.27,
|
73 |
+
"learning_rate": 9.45273631840796e-06,
|
74 |
+
"loss": 0.5248,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.3,
|
79 |
+
"learning_rate": 9.402985074626867e-06,
|
80 |
+
"loss": 0.525,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.32,
|
85 |
+
"learning_rate": 9.353233830845772e-06,
|
86 |
+
"loss": 0.5185,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.35,
|
91 |
+
"learning_rate": 9.303482587064677e-06,
|
92 |
+
"loss": 0.4787,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.37,
|
97 |
+
"learning_rate": 9.253731343283582e-06,
|
98 |
+
"loss": 0.5257,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.4,
|
103 |
+
"learning_rate": 9.203980099502489e-06,
|
104 |
+
"loss": 0.5418,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.42,
|
109 |
+
"learning_rate": 9.154228855721394e-06,
|
110 |
+
"loss": 0.4907,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.45,
|
115 |
+
"learning_rate": 9.104477611940299e-06,
|
116 |
+
"loss": 0.4937,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.47,
|
121 |
+
"learning_rate": 9.054726368159204e-06,
|
122 |
+
"loss": 0.5307,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.5,
|
127 |
+
"learning_rate": 9.00497512437811e-06,
|
128 |
+
"loss": 0.5081,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.52,
|
133 |
+
"learning_rate": 8.955223880597016e-06,
|
134 |
+
"loss": 0.4422,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.55,
|
139 |
+
"learning_rate": 8.905472636815922e-06,
|
140 |
+
"loss": 0.4795,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.57,
|
145 |
+
"learning_rate": 8.855721393034826e-06,
|
146 |
+
"loss": 0.5052,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.6,
|
151 |
+
"learning_rate": 8.805970149253732e-06,
|
152 |
+
"loss": 0.4952,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.62,
|
157 |
+
"learning_rate": 8.756218905472637e-06,
|
158 |
+
"loss": 0.4394,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.65,
|
163 |
+
"learning_rate": 8.706467661691544e-06,
|
164 |
+
"loss": 0.5088,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.67,
|
169 |
+
"learning_rate": 8.656716417910447e-06,
|
170 |
+
"loss": 0.4878,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.7,
|
175 |
+
"learning_rate": 8.606965174129354e-06,
|
176 |
+
"loss": 0.4851,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.72,
|
181 |
+
"learning_rate": 8.557213930348259e-06,
|
182 |
+
"loss": 0.4383,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.75,
|
187 |
+
"learning_rate": 8.507462686567165e-06,
|
188 |
+
"loss": 0.4377,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.77,
|
193 |
+
"learning_rate": 8.45771144278607e-06,
|
194 |
+
"loss": 0.4818,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.8,
|
199 |
+
"learning_rate": 8.407960199004975e-06,
|
200 |
+
"loss": 0.4399,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.82,
|
205 |
+
"learning_rate": 8.35820895522388e-06,
|
206 |
+
"loss": 0.5072,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.85,
|
211 |
+
"learning_rate": 8.308457711442787e-06,
|
212 |
+
"loss": 0.4585,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.87,
|
217 |
+
"learning_rate": 8.258706467661692e-06,
|
218 |
+
"loss": 0.4994,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.9,
|
223 |
+
"learning_rate": 8.208955223880599e-06,
|
224 |
+
"loss": 0.4836,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.92,
|
229 |
+
"learning_rate": 8.159203980099502e-06,
|
230 |
+
"loss": 0.4744,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.95,
|
235 |
+
"learning_rate": 8.109452736318409e-06,
|
236 |
+
"loss": 0.4244,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.97,
|
241 |
+
"learning_rate": 8.059701492537314e-06,
|
242 |
+
"loss": 0.4591,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 1.0,
|
247 |
+
"learning_rate": 8.00995024875622e-06,
|
248 |
+
"loss": 0.4019,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.0,
|
253 |
+
"eval_DeTox:accuracy": 0.7757009345794392,
|
254 |
+
"eval_DeTox:f1-macro": 0.7292154841128502,
|
255 |
+
"eval_DeTox:precision": 0.6744186046511628,
|
256 |
+
"eval_DeTox:recall": 0.5686274509803921,
|
257 |
+
"eval_HASOC2019:accuracy": 0.7575757575757576,
|
258 |
+
"eval_HASOC2019:f1-macro": 0.7380952380952381,
|
259 |
+
"eval_HASOC2019:precision": 0.6153846153846154,
|
260 |
+
"eval_HASOC2019:recall": 0.7272727272727273,
|
261 |
+
"eval_HASOC2020:accuracy": 0.6511627906976745,
|
262 |
+
"eval_HASOC2020:f1-macro": 0.5274725274725275,
|
263 |
+
"eval_HASOC2020:precision": 0.3333333333333333,
|
264 |
+
"eval_HASOC2020:recall": 0.25,
|
265 |
+
"eval_MHC:accuracy": NaN,
|
266 |
+
"eval_MHC:f1-macro": NaN,
|
267 |
+
"eval_MHC:precision": 0.0,
|
268 |
+
"eval_MHC:recall": 0.0,
|
269 |
+
"eval_RP:accuracy": 0.8848684210526315,
|
270 |
+
"eval_RP:f1-macro": 0.8664105364922722,
|
271 |
+
"eval_RP:precision": 0.9397590361445783,
|
272 |
+
"eval_RP:recall": 0.7222222222222222,
|
273 |
+
"eval_Round1:accuracy": NaN,
|
274 |
+
"eval_Round1:f1-macro": NaN,
|
275 |
+
"eval_Round1:precision": 0.0,
|
276 |
+
"eval_Round1:recall": 0.0,
|
277 |
+
"eval_Round2:accuracy": NaN,
|
278 |
+
"eval_Round2:f1-macro": NaN,
|
279 |
+
"eval_Round2:precision": 0.0,
|
280 |
+
"eval_Round2:recall": 0.0,
|
281 |
+
"eval_Round3:accuracy": NaN,
|
282 |
+
"eval_Round3:f1-macro": NaN,
|
283 |
+
"eval_Round3:precision": 0.0,
|
284 |
+
"eval_Round3:recall": 0.0,
|
285 |
+
"eval_Round4:accuracy": NaN,
|
286 |
+
"eval_Round4:f1-macro": NaN,
|
287 |
+
"eval_Round4:precision": 0.0,
|
288 |
+
"eval_Round4:recall": 0.0,
|
289 |
+
"eval_accuracy": 0.7868085106382978,
|
290 |
+
"eval_f1-macro": 0.7744064408987412,
|
291 |
+
"eval_loss": 0.46475154161453247,
|
292 |
+
"eval_precision": 0.7572928821470245,
|
293 |
+
"eval_recall": 0.6889596602972399,
|
294 |
+
"eval_runtime": 9.743,
|
295 |
+
"eval_samples_per_second": 241.2,
|
296 |
+
"eval_steps_per_second": 30.176,
|
297 |
+
"step": 402
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 1.02,
|
301 |
+
"learning_rate": 7.960199004975125e-06,
|
302 |
+
"loss": 0.4151,
|
303 |
+
"step": 410
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.04,
|
307 |
+
"learning_rate": 7.91044776119403e-06,
|
308 |
+
"loss": 0.4307,
|
309 |
+
"step": 420
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.07,
|
313 |
+
"learning_rate": 7.860696517412935e-06,
|
314 |
+
"loss": 0.4405,
|
315 |
+
"step": 430
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 1.09,
|
319 |
+
"learning_rate": 7.810945273631842e-06,
|
320 |
+
"loss": 0.4275,
|
321 |
+
"step": 440
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 1.12,
|
325 |
+
"learning_rate": 7.761194029850747e-06,
|
326 |
+
"loss": 0.4203,
|
327 |
+
"step": 450
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 1.14,
|
331 |
+
"learning_rate": 7.711442786069654e-06,
|
332 |
+
"loss": 0.4934,
|
333 |
+
"step": 460
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 1.17,
|
337 |
+
"learning_rate": 7.661691542288557e-06,
|
338 |
+
"loss": 0.4166,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.19,
|
343 |
+
"learning_rate": 7.611940298507463e-06,
|
344 |
+
"loss": 0.3872,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.22,
|
349 |
+
"learning_rate": 7.5621890547263685e-06,
|
350 |
+
"loss": 0.362,
|
351 |
+
"step": 490
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 1.24,
|
355 |
+
"learning_rate": 7.512437810945274e-06,
|
356 |
+
"loss": 0.3795,
|
357 |
+
"step": 500
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 1.27,
|
361 |
+
"learning_rate": 7.46268656716418e-06,
|
362 |
+
"loss": 0.3736,
|
363 |
+
"step": 510
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 1.29,
|
367 |
+
"learning_rate": 7.412935323383084e-06,
|
368 |
+
"loss": 0.3603,
|
369 |
+
"step": 520
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.32,
|
373 |
+
"learning_rate": 7.36318407960199e-06,
|
374 |
+
"loss": 0.3526,
|
375 |
+
"step": 530
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.34,
|
379 |
+
"learning_rate": 7.313432835820896e-06,
|
380 |
+
"loss": 0.3054,
|
381 |
+
"step": 540
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.37,
|
385 |
+
"learning_rate": 7.263681592039802e-06,
|
386 |
+
"loss": 0.3601,
|
387 |
+
"step": 550
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.39,
|
391 |
+
"learning_rate": 7.213930348258708e-06,
|
392 |
+
"loss": 0.4352,
|
393 |
+
"step": 560
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 1.42,
|
397 |
+
"learning_rate": 7.164179104477612e-06,
|
398 |
+
"loss": 0.3177,
|
399 |
+
"step": 570
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 1.44,
|
403 |
+
"learning_rate": 7.114427860696518e-06,
|
404 |
+
"loss": 0.3465,
|
405 |
+
"step": 580
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.47,
|
409 |
+
"learning_rate": 7.064676616915423e-06,
|
410 |
+
"loss": 0.3679,
|
411 |
+
"step": 590
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.49,
|
415 |
+
"learning_rate": 7.014925373134329e-06,
|
416 |
+
"loss": 0.3933,
|
417 |
+
"step": 600
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.52,
|
421 |
+
"learning_rate": 6.965174129353235e-06,
|
422 |
+
"loss": 0.3282,
|
423 |
+
"step": 610
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 1.54,
|
427 |
+
"learning_rate": 6.915422885572139e-06,
|
428 |
+
"loss": 0.361,
|
429 |
+
"step": 620
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.57,
|
433 |
+
"learning_rate": 6.865671641791045e-06,
|
434 |
+
"loss": 0.3475,
|
435 |
+
"step": 630
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.59,
|
439 |
+
"learning_rate": 6.815920398009951e-06,
|
440 |
+
"loss": 0.3196,
|
441 |
+
"step": 640
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.62,
|
445 |
+
"learning_rate": 6.766169154228857e-06,
|
446 |
+
"loss": 0.2777,
|
447 |
+
"step": 650
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 1.64,
|
451 |
+
"learning_rate": 6.7164179104477625e-06,
|
452 |
+
"loss": 0.2905,
|
453 |
+
"step": 660
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 1.67,
|
457 |
+
"learning_rate": 6.666666666666667e-06,
|
458 |
+
"loss": 0.3959,
|
459 |
+
"step": 670
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.69,
|
463 |
+
"learning_rate": 6.6169154228855725e-06,
|
464 |
+
"loss": 0.3215,
|
465 |
+
"step": 680
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.72,
|
469 |
+
"learning_rate": 6.567164179104478e-06,
|
470 |
+
"loss": 0.3283,
|
471 |
+
"step": 690
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.74,
|
475 |
+
"learning_rate": 6.517412935323384e-06,
|
476 |
+
"loss": 0.2946,
|
477 |
+
"step": 700
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 1.77,
|
481 |
+
"learning_rate": 6.46766169154229e-06,
|
482 |
+
"loss": 0.3383,
|
483 |
+
"step": 710
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 1.79,
|
487 |
+
"learning_rate": 6.417910447761194e-06,
|
488 |
+
"loss": 0.279,
|
489 |
+
"step": 720
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 1.82,
|
493 |
+
"learning_rate": 6.3681592039801e-06,
|
494 |
+
"loss": 0.3557,
|
495 |
+
"step": 730
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.84,
|
499 |
+
"learning_rate": 6.318407960199006e-06,
|
500 |
+
"loss": 0.352,
|
501 |
+
"step": 740
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.87,
|
505 |
+
"learning_rate": 6.2686567164179116e-06,
|
506 |
+
"loss": 0.2888,
|
507 |
+
"step": 750
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.89,
|
511 |
+
"learning_rate": 6.218905472636816e-06,
|
512 |
+
"loss": 0.3714,
|
513 |
+
"step": 760
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.92,
|
517 |
+
"learning_rate": 6.1691542288557215e-06,
|
518 |
+
"loss": 0.2962,
|
519 |
+
"step": 770
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 1.94,
|
523 |
+
"learning_rate": 6.119402985074627e-06,
|
524 |
+
"loss": 0.3303,
|
525 |
+
"step": 780
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.97,
|
529 |
+
"learning_rate": 6.069651741293533e-06,
|
530 |
+
"loss": 0.311,
|
531 |
+
"step": 790
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.99,
|
535 |
+
"learning_rate": 6.019900497512439e-06,
|
536 |
+
"loss": 0.2763,
|
537 |
+
"step": 800
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 2.0,
|
541 |
+
"eval_DeTox:accuracy": 0.778816199376947,
|
542 |
+
"eval_DeTox:f1-macro": 0.7338028662531974,
|
543 |
+
"eval_DeTox:precision": 0.6781609195402298,
|
544 |
+
"eval_DeTox:recall": 0.5784313725490197,
|
545 |
+
"eval_HASOC2019:accuracy": 0.7878787878787878,
|
546 |
+
"eval_HASOC2019:f1-macro": 0.7664307381193125,
|
547 |
+
"eval_HASOC2019:precision": 0.6666666666666666,
|
548 |
+
"eval_HASOC2019:recall": 0.7272727272727273,
|
549 |
+
"eval_HASOC2020:accuracy": 0.6511627906976745,
|
550 |
+
"eval_HASOC2020:f1-macro": 0.5274725274725275,
|
551 |
+
"eval_HASOC2020:precision": 0.3333333333333333,
|
552 |
+
"eval_HASOC2020:recall": 0.25,
|
553 |
+
"eval_MHC:accuracy": NaN,
|
554 |
+
"eval_MHC:f1-macro": NaN,
|
555 |
+
"eval_MHC:precision": 0.0,
|
556 |
+
"eval_MHC:recall": 0.0,
|
557 |
+
"eval_RP:accuracy": 0.8618421052631579,
|
558 |
+
"eval_RP:f1-macro": 0.8342679127725857,
|
559 |
+
"eval_RP:precision": 0.9583333333333334,
|
560 |
+
"eval_RP:recall": 0.6388888888888888,
|
561 |
+
"eval_Round1:accuracy": NaN,
|
562 |
+
"eval_Round1:f1-macro": NaN,
|
563 |
+
"eval_Round1:precision": 0.0,
|
564 |
+
"eval_Round1:recall": 0.0,
|
565 |
+
"eval_Round2:accuracy": NaN,
|
566 |
+
"eval_Round2:f1-macro": NaN,
|
567 |
+
"eval_Round2:precision": 0.0,
|
568 |
+
"eval_Round2:recall": 0.0,
|
569 |
+
"eval_Round3:accuracy": NaN,
|
570 |
+
"eval_Round3:f1-macro": NaN,
|
571 |
+
"eval_Round3:precision": 0.0,
|
572 |
+
"eval_Round3:recall": 0.0,
|
573 |
+
"eval_Round4:accuracy": NaN,
|
574 |
+
"eval_Round4:f1-macro": NaN,
|
575 |
+
"eval_Round4:precision": 0.0,
|
576 |
+
"eval_Round4:recall": 0.0,
|
577 |
+
"eval_accuracy": 0.7919148936170213,
|
578 |
+
"eval_f1-macro": 0.7729607214046385,
|
579 |
+
"eval_loss": 0.5181771516799927,
|
580 |
+
"eval_precision": 0.8106995884773662,
|
581 |
+
"eval_recall": 0.6273885350318471,
|
582 |
+
"eval_runtime": 9.762,
|
583 |
+
"eval_samples_per_second": 240.729,
|
584 |
+
"eval_steps_per_second": 30.117,
|
585 |
+
"step": 804
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 2.01,
|
589 |
+
"learning_rate": 5.970149253731343e-06,
|
590 |
+
"loss": 0.2548,
|
591 |
+
"step": 810
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 2.04,
|
595 |
+
"learning_rate": 5.920398009950249e-06,
|
596 |
+
"loss": 0.3048,
|
597 |
+
"step": 820
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 2.06,
|
601 |
+
"learning_rate": 5.870646766169155e-06,
|
602 |
+
"loss": 0.2669,
|
603 |
+
"step": 830
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 2.09,
|
607 |
+
"learning_rate": 5.820895522388061e-06,
|
608 |
+
"loss": 0.2954,
|
609 |
+
"step": 840
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 2.11,
|
613 |
+
"learning_rate": 5.771144278606966e-06,
|
614 |
+
"loss": 0.2801,
|
615 |
+
"step": 850
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 2.14,
|
619 |
+
"learning_rate": 5.721393034825871e-06,
|
620 |
+
"loss": 0.4024,
|
621 |
+
"step": 860
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 2.16,
|
625 |
+
"learning_rate": 5.671641791044776e-06,
|
626 |
+
"loss": 0.2838,
|
627 |
+
"step": 870
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 2.19,
|
631 |
+
"learning_rate": 5.621890547263682e-06,
|
632 |
+
"loss": 0.2733,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 2.21,
|
637 |
+
"learning_rate": 5.572139303482588e-06,
|
638 |
+
"loss": 0.2462,
|
639 |
+
"step": 890
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.24,
|
643 |
+
"learning_rate": 5.522388059701493e-06,
|
644 |
+
"loss": 0.225,
|
645 |
+
"step": 900
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 2.26,
|
649 |
+
"learning_rate": 5.472636815920398e-06,
|
650 |
+
"loss": 0.2447,
|
651 |
+
"step": 910
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 2.29,
|
655 |
+
"learning_rate": 5.422885572139304e-06,
|
656 |
+
"loss": 0.2392,
|
657 |
+
"step": 920
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 2.31,
|
661 |
+
"learning_rate": 5.37313432835821e-06,
|
662 |
+
"loss": 0.2926,
|
663 |
+
"step": 930
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 2.34,
|
667 |
+
"learning_rate": 5.323383084577115e-06,
|
668 |
+
"loss": 0.1636,
|
669 |
+
"step": 940
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 2.36,
|
673 |
+
"learning_rate": 5.2736318407960205e-06,
|
674 |
+
"loss": 0.2151,
|
675 |
+
"step": 950
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 2.39,
|
679 |
+
"learning_rate": 5.2238805970149255e-06,
|
680 |
+
"loss": 0.26,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 2.41,
|
685 |
+
"learning_rate": 5.174129353233831e-06,
|
686 |
+
"loss": 0.2943,
|
687 |
+
"step": 970
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 2.44,
|
691 |
+
"learning_rate": 5.124378109452737e-06,
|
692 |
+
"loss": 0.2122,
|
693 |
+
"step": 980
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 2.46,
|
697 |
+
"learning_rate": 5.074626865671642e-06,
|
698 |
+
"loss": 0.2709,
|
699 |
+
"step": 990
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 2.49,
|
703 |
+
"learning_rate": 5.024875621890548e-06,
|
704 |
+
"loss": 0.2713,
|
705 |
+
"step": 1000
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 2.51,
|
709 |
+
"learning_rate": 4.975124378109453e-06,
|
710 |
+
"loss": 0.2157,
|
711 |
+
"step": 1010
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 2.54,
|
715 |
+
"learning_rate": 4.925373134328359e-06,
|
716 |
+
"loss": 0.2441,
|
717 |
+
"step": 1020
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 2.56,
|
721 |
+
"learning_rate": 4.875621890547264e-06,
|
722 |
+
"loss": 0.2299,
|
723 |
+
"step": 1030
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 2.59,
|
727 |
+
"learning_rate": 4.8258706467661695e-06,
|
728 |
+
"loss": 0.2002,
|
729 |
+
"step": 1040
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 2.61,
|
733 |
+
"learning_rate": 4.7761194029850745e-06,
|
734 |
+
"loss": 0.1875,
|
735 |
+
"step": 1050
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 2.64,
|
739 |
+
"learning_rate": 4.72636815920398e-06,
|
740 |
+
"loss": 0.2272,
|
741 |
+
"step": 1060
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.66,
|
745 |
+
"learning_rate": 4.676616915422886e-06,
|
746 |
+
"loss": 0.2605,
|
747 |
+
"step": 1070
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 2.69,
|
751 |
+
"learning_rate": 4.626865671641791e-06,
|
752 |
+
"loss": 0.2487,
|
753 |
+
"step": 1080
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 2.71,
|
757 |
+
"learning_rate": 4.577114427860697e-06,
|
758 |
+
"loss": 0.2037,
|
759 |
+
"step": 1090
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 2.74,
|
763 |
+
"learning_rate": 4.527363184079602e-06,
|
764 |
+
"loss": 0.2093,
|
765 |
+
"step": 1100
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.76,
|
769 |
+
"learning_rate": 4.477611940298508e-06,
|
770 |
+
"loss": 0.1975,
|
771 |
+
"step": 1110
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.79,
|
775 |
+
"learning_rate": 4.427860696517413e-06,
|
776 |
+
"loss": 0.1983,
|
777 |
+
"step": 1120
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 2.81,
|
781 |
+
"learning_rate": 4.378109452736319e-06,
|
782 |
+
"loss": 0.2215,
|
783 |
+
"step": 1130
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 2.84,
|
787 |
+
"learning_rate": 4.3283582089552236e-06,
|
788 |
+
"loss": 0.2411,
|
789 |
+
"step": 1140
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 2.86,
|
793 |
+
"learning_rate": 4.278606965174129e-06,
|
794 |
+
"loss": 0.2356,
|
795 |
+
"step": 1150
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 2.89,
|
799 |
+
"learning_rate": 4.228855721393035e-06,
|
800 |
+
"loss": 0.2352,
|
801 |
+
"step": 1160
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 2.91,
|
805 |
+
"learning_rate": 4.17910447761194e-06,
|
806 |
+
"loss": 0.1669,
|
807 |
+
"step": 1170
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 2.94,
|
811 |
+
"learning_rate": 4.129353233830846e-06,
|
812 |
+
"loss": 0.2586,
|
813 |
+
"step": 1180
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 2.96,
|
817 |
+
"learning_rate": 4.079601990049751e-06,
|
818 |
+
"loss": 0.2224,
|
819 |
+
"step": 1190
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 2.99,
|
823 |
+
"learning_rate": 4.029850746268657e-06,
|
824 |
+
"loss": 0.2033,
|
825 |
+
"step": 1200
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 3.0,
|
829 |
+
"eval_DeTox:accuracy": 0.8037383177570093,
|
830 |
+
"eval_DeTox:f1-macro": 0.774259083551934,
|
831 |
+
"eval_DeTox:precision": 0.6893203883495146,
|
832 |
+
"eval_DeTox:recall": 0.696078431372549,
|
833 |
+
"eval_HASOC2019:accuracy": 0.7575757575757576,
|
834 |
+
"eval_HASOC2019:f1-macro": 0.7518796992481203,
|
835 |
+
"eval_HASOC2019:precision": 0.5882352941176471,
|
836 |
+
"eval_HASOC2019:recall": 0.9090909090909091,
|
837 |
+
"eval_HASOC2020:accuracy": 0.7209302325581395,
|
838 |
+
"eval_HASOC2020:f1-macro": 0.6692307692307692,
|
839 |
+
"eval_HASOC2020:precision": 0.5,
|
840 |
+
"eval_HASOC2020:recall": 0.5833333333333334,
|
841 |
+
"eval_MHC:accuracy": NaN,
|
842 |
+
"eval_MHC:f1-macro": NaN,
|
843 |
+
"eval_MHC:precision": 0.0,
|
844 |
+
"eval_MHC:recall": 0.0,
|
845 |
+
"eval_RP:accuracy": 0.8782894736842105,
|
846 |
+
"eval_RP:f1-macro": 0.8595667644671952,
|
847 |
+
"eval_RP:precision": 0.9176470588235294,
|
848 |
+
"eval_RP:recall": 0.7222222222222222,
|
849 |
+
"eval_Round1:accuracy": NaN,
|
850 |
+
"eval_Round1:f1-macro": NaN,
|
851 |
+
"eval_Round1:precision": 0.0,
|
852 |
+
"eval_Round1:recall": 0.0,
|
853 |
+
"eval_Round2:accuracy": NaN,
|
854 |
+
"eval_Round2:f1-macro": NaN,
|
855 |
+
"eval_Round2:precision": 0.0,
|
856 |
+
"eval_Round2:recall": 0.0,
|
857 |
+
"eval_Round3:accuracy": NaN,
|
858 |
+
"eval_Round3:f1-macro": NaN,
|
859 |
+
"eval_Round3:precision": 0.0,
|
860 |
+
"eval_Round3:recall": 0.0,
|
861 |
+
"eval_Round4:accuracy": NaN,
|
862 |
+
"eval_Round4:f1-macro": NaN,
|
863 |
+
"eval_Round4:precision": 0.0,
|
864 |
+
"eval_Round4:recall": 0.0,
|
865 |
+
"eval_accuracy": 0.8246808510638298,
|
866 |
+
"eval_f1-macro": 0.8160155062328975,
|
867 |
+
"eval_loss": 0.4982839524745941,
|
868 |
+
"eval_precision": 0.7951002227171492,
|
869 |
+
"eval_recall": 0.7579617834394905,
|
870 |
+
"eval_runtime": 9.7615,
|
871 |
+
"eval_samples_per_second": 240.741,
|
872 |
+
"eval_steps_per_second": 30.118,
|
873 |
+
"step": 1206
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 3.01,
|
877 |
+
"learning_rate": 3.980099502487563e-06,
|
878 |
+
"loss": 0.15,
|
879 |
+
"step": 1210
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 3.03,
|
883 |
+
"learning_rate": 3.930348258706468e-06,
|
884 |
+
"loss": 0.2823,
|
885 |
+
"step": 1220
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 3.06,
|
889 |
+
"learning_rate": 3.8805970149253735e-06,
|
890 |
+
"loss": 0.2278,
|
891 |
+
"step": 1230
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 3.08,
|
895 |
+
"learning_rate": 3.8308457711442784e-06,
|
896 |
+
"loss": 0.1614,
|
897 |
+
"step": 1240
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 3.11,
|
901 |
+
"learning_rate": 3.7810945273631843e-06,
|
902 |
+
"loss": 0.1793,
|
903 |
+
"step": 1250
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 3.13,
|
907 |
+
"learning_rate": 3.73134328358209e-06,
|
908 |
+
"loss": 0.3277,
|
909 |
+
"step": 1260
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 3.16,
|
913 |
+
"learning_rate": 3.681592039800995e-06,
|
914 |
+
"loss": 0.185,
|
915 |
+
"step": 1270
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 3.18,
|
919 |
+
"learning_rate": 3.631840796019901e-06,
|
920 |
+
"loss": 0.1947,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 3.21,
|
925 |
+
"learning_rate": 3.582089552238806e-06,
|
926 |
+
"loss": 0.1548,
|
927 |
+
"step": 1290
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 3.23,
|
931 |
+
"learning_rate": 3.5323383084577117e-06,
|
932 |
+
"loss": 0.1412,
|
933 |
+
"step": 1300
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 3.26,
|
937 |
+
"learning_rate": 3.4825870646766175e-06,
|
938 |
+
"loss": 0.1608,
|
939 |
+
"step": 1310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 3.28,
|
943 |
+
"learning_rate": 3.4328358208955225e-06,
|
944 |
+
"loss": 0.1994,
|
945 |
+
"step": 1320
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 3.31,
|
949 |
+
"learning_rate": 3.3830845771144283e-06,
|
950 |
+
"loss": 0.2287,
|
951 |
+
"step": 1330
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 3.33,
|
955 |
+
"learning_rate": 3.3333333333333333e-06,
|
956 |
+
"loss": 0.2052,
|
957 |
+
"step": 1340
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 3.36,
|
961 |
+
"learning_rate": 3.283582089552239e-06,
|
962 |
+
"loss": 0.1324,
|
963 |
+
"step": 1350
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 3.38,
|
967 |
+
"learning_rate": 3.233830845771145e-06,
|
968 |
+
"loss": 0.1727,
|
969 |
+
"step": 1360
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 3.41,
|
973 |
+
"learning_rate": 3.18407960199005e-06,
|
974 |
+
"loss": 0.2653,
|
975 |
+
"step": 1370
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 3.43,
|
979 |
+
"learning_rate": 3.1343283582089558e-06,
|
980 |
+
"loss": 0.1253,
|
981 |
+
"step": 1380
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 3.46,
|
985 |
+
"learning_rate": 3.0845771144278608e-06,
|
986 |
+
"loss": 0.1939,
|
987 |
+
"step": 1390
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 3.48,
|
991 |
+
"learning_rate": 3.0348258706467666e-06,
|
992 |
+
"loss": 0.1671,
|
993 |
+
"step": 1400
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 3.51,
|
997 |
+
"learning_rate": 2.9850746268656716e-06,
|
998 |
+
"loss": 0.1425,
|
999 |
+
"step": 1410
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 3.53,
|
1003 |
+
"learning_rate": 2.9353233830845774e-06,
|
1004 |
+
"loss": 0.2261,
|
1005 |
+
"step": 1420
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 3.56,
|
1009 |
+
"learning_rate": 2.885572139303483e-06,
|
1010 |
+
"loss": 0.152,
|
1011 |
+
"step": 1430
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 3.58,
|
1015 |
+
"learning_rate": 2.835820895522388e-06,
|
1016 |
+
"loss": 0.15,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 3.61,
|
1021 |
+
"learning_rate": 2.786069651741294e-06,
|
1022 |
+
"loss": 0.1616,
|
1023 |
+
"step": 1450
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 3.63,
|
1027 |
+
"learning_rate": 2.736318407960199e-06,
|
1028 |
+
"loss": 0.147,
|
1029 |
+
"step": 1460
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 3.66,
|
1033 |
+
"learning_rate": 2.686567164179105e-06,
|
1034 |
+
"loss": 0.2288,
|
1035 |
+
"step": 1470
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 3.68,
|
1039 |
+
"learning_rate": 2.6368159203980102e-06,
|
1040 |
+
"loss": 0.1681,
|
1041 |
+
"step": 1480
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 3.71,
|
1045 |
+
"learning_rate": 2.5870646766169156e-06,
|
1046 |
+
"loss": 0.1668,
|
1047 |
+
"step": 1490
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 3.73,
|
1051 |
+
"learning_rate": 2.537313432835821e-06,
|
1052 |
+
"loss": 0.159,
|
1053 |
+
"step": 1500
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 3.76,
|
1057 |
+
"learning_rate": 2.4875621890547264e-06,
|
1058 |
+
"loss": 0.1464,
|
1059 |
+
"step": 1510
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 3.78,
|
1063 |
+
"learning_rate": 2.437810945273632e-06,
|
1064 |
+
"loss": 0.1449,
|
1065 |
+
"step": 1520
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 3.81,
|
1069 |
+
"learning_rate": 2.3880597014925373e-06,
|
1070 |
+
"loss": 0.1459,
|
1071 |
+
"step": 1530
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 3.83,
|
1075 |
+
"learning_rate": 2.338308457711443e-06,
|
1076 |
+
"loss": 0.2006,
|
1077 |
+
"step": 1540
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 3.86,
|
1081 |
+
"learning_rate": 2.2885572139303485e-06,
|
1082 |
+
"loss": 0.1621,
|
1083 |
+
"step": 1550
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 3.88,
|
1087 |
+
"learning_rate": 2.238805970149254e-06,
|
1088 |
+
"loss": 0.2158,
|
1089 |
+
"step": 1560
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 3.91,
|
1093 |
+
"learning_rate": 2.1890547263681593e-06,
|
1094 |
+
"loss": 0.1351,
|
1095 |
+
"step": 1570
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 3.93,
|
1099 |
+
"learning_rate": 2.1393034825870647e-06,
|
1100 |
+
"loss": 0.1395,
|
1101 |
+
"step": 1580
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 3.96,
|
1105 |
+
"learning_rate": 2.08955223880597e-06,
|
1106 |
+
"loss": 0.1569,
|
1107 |
+
"step": 1590
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 3.98,
|
1111 |
+
"learning_rate": 2.0398009950248755e-06,
|
1112 |
+
"loss": 0.1868,
|
1113 |
+
"step": 1600
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 4.0,
|
1117 |
+
"eval_DeTox:accuracy": 0.8130841121495327,
|
1118 |
+
"eval_DeTox:f1-macro": 0.7855615925892937,
|
1119 |
+
"eval_DeTox:precision": 0.7019230769230769,
|
1120 |
+
"eval_DeTox:recall": 0.7156862745098039,
|
1121 |
+
"eval_HASOC2019:accuracy": 0.7575757575757576,
|
1122 |
+
"eval_HASOC2019:f1-macro": 0.7518796992481203,
|
1123 |
+
"eval_HASOC2019:precision": 0.5882352941176471,
|
1124 |
+
"eval_HASOC2019:recall": 0.9090909090909091,
|
1125 |
+
"eval_HASOC2020:accuracy": 0.7441860465116279,
|
1126 |
+
"eval_HASOC2020:f1-macro": 0.7030759573132455,
|
1127 |
+
"eval_HASOC2020:precision": 0.5333333333333333,
|
1128 |
+
"eval_HASOC2020:recall": 0.6666666666666666,
|
1129 |
+
"eval_MHC:accuracy": NaN,
|
1130 |
+
"eval_MHC:f1-macro": NaN,
|
1131 |
+
"eval_MHC:precision": 0.0,
|
1132 |
+
"eval_MHC:recall": 0.0,
|
1133 |
+
"eval_RP:accuracy": 0.881578947368421,
|
1134 |
+
"eval_RP:f1-macro": 0.8651884700665189,
|
1135 |
+
"eval_RP:precision": 0.9,
|
1136 |
+
"eval_RP:recall": 0.75,
|
1137 |
+
"eval_Round1:accuracy": NaN,
|
1138 |
+
"eval_Round1:f1-macro": NaN,
|
1139 |
+
"eval_Round1:precision": 0.0,
|
1140 |
+
"eval_Round1:recall": 0.0,
|
1141 |
+
"eval_Round2:accuracy": NaN,
|
1142 |
+
"eval_Round2:f1-macro": NaN,
|
1143 |
+
"eval_Round2:precision": 0.0,
|
1144 |
+
"eval_Round2:recall": 0.0,
|
1145 |
+
"eval_Round3:accuracy": NaN,
|
1146 |
+
"eval_Round3:f1-macro": NaN,
|
1147 |
+
"eval_Round3:precision": 0.0,
|
1148 |
+
"eval_Round3:recall": 0.0,
|
1149 |
+
"eval_Round4:accuracy": NaN,
|
1150 |
+
"eval_Round4:f1-macro": NaN,
|
1151 |
+
"eval_Round4:precision": 0.0,
|
1152 |
+
"eval_Round4:recall": 0.0,
|
1153 |
+
"eval_accuracy": 0.828936170212766,
|
1154 |
+
"eval_f1-macro": 0.8213584698436758,
|
1155 |
+
"eval_loss": 0.5340345501899719,
|
1156 |
+
"eval_precision": 0.7922077922077922,
|
1157 |
+
"eval_recall": 0.7770700636942676,
|
1158 |
+
"eval_runtime": 10.0181,
|
1159 |
+
"eval_samples_per_second": 234.576,
|
1160 |
+
"eval_steps_per_second": 29.347,
|
1161 |
+
"step": 1608
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 4.0,
|
1165 |
+
"learning_rate": 1.9900497512437813e-06,
|
1166 |
+
"loss": 0.0959,
|
1167 |
+
"step": 1610
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 4.03,
|
1171 |
+
"learning_rate": 1.9402985074626867e-06,
|
1172 |
+
"loss": 0.2036,
|
1173 |
+
"step": 1620
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 4.05,
|
1177 |
+
"learning_rate": 1.8905472636815921e-06,
|
1178 |
+
"loss": 0.1506,
|
1179 |
+
"step": 1630
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 4.08,
|
1183 |
+
"learning_rate": 1.8407960199004975e-06,
|
1184 |
+
"loss": 0.1104,
|
1185 |
+
"step": 1640
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 4.1,
|
1189 |
+
"learning_rate": 1.791044776119403e-06,
|
1190 |
+
"loss": 0.1229,
|
1191 |
+
"step": 1650
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 4.13,
|
1195 |
+
"learning_rate": 1.7412935323383088e-06,
|
1196 |
+
"loss": 0.1676,
|
1197 |
+
"step": 1660
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 4.15,
|
1201 |
+
"learning_rate": 1.6915422885572142e-06,
|
1202 |
+
"loss": 0.1602,
|
1203 |
+
"step": 1670
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 4.18,
|
1207 |
+
"learning_rate": 1.6417910447761196e-06,
|
1208 |
+
"loss": 0.1397,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 4.2,
|
1213 |
+
"learning_rate": 1.592039800995025e-06,
|
1214 |
+
"loss": 0.1205,
|
1215 |
+
"step": 1690
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 4.23,
|
1219 |
+
"learning_rate": 1.5422885572139304e-06,
|
1220 |
+
"loss": 0.1497,
|
1221 |
+
"step": 1700
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 4.25,
|
1225 |
+
"learning_rate": 1.4925373134328358e-06,
|
1226 |
+
"loss": 0.085,
|
1227 |
+
"step": 1710
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 4.28,
|
1231 |
+
"learning_rate": 1.4427860696517414e-06,
|
1232 |
+
"loss": 0.1142,
|
1233 |
+
"step": 1720
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 4.3,
|
1237 |
+
"learning_rate": 1.393034825870647e-06,
|
1238 |
+
"loss": 0.1601,
|
1239 |
+
"step": 1730
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 4.33,
|
1243 |
+
"learning_rate": 1.3432835820895524e-06,
|
1244 |
+
"loss": 0.1047,
|
1245 |
+
"step": 1740
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 4.35,
|
1249 |
+
"learning_rate": 1.2935323383084578e-06,
|
1250 |
+
"loss": 0.0812,
|
1251 |
+
"step": 1750
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 4.38,
|
1255 |
+
"learning_rate": 1.2437810945273632e-06,
|
1256 |
+
"loss": 0.0614,
|
1257 |
+
"step": 1760
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 4.4,
|
1261 |
+
"learning_rate": 1.1940298507462686e-06,
|
1262 |
+
"loss": 0.169,
|
1263 |
+
"step": 1770
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 4.43,
|
1267 |
+
"learning_rate": 1.1442786069651742e-06,
|
1268 |
+
"loss": 0.0794,
|
1269 |
+
"step": 1780
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 4.45,
|
1273 |
+
"learning_rate": 1.0945273631840796e-06,
|
1274 |
+
"loss": 0.1185,
|
1275 |
+
"step": 1790
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 4.48,
|
1279 |
+
"learning_rate": 1.044776119402985e-06,
|
1280 |
+
"loss": 0.1428,
|
1281 |
+
"step": 1800
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 4.5,
|
1285 |
+
"learning_rate": 9.950248756218907e-07,
|
1286 |
+
"loss": 0.1351,
|
1287 |
+
"step": 1810
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 4.53,
|
1291 |
+
"learning_rate": 9.452736318407961e-07,
|
1292 |
+
"loss": 0.1341,
|
1293 |
+
"step": 1820
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 4.55,
|
1297 |
+
"learning_rate": 8.955223880597015e-07,
|
1298 |
+
"loss": 0.0735,
|
1299 |
+
"step": 1830
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 4.58,
|
1303 |
+
"learning_rate": 8.457711442786071e-07,
|
1304 |
+
"loss": 0.1164,
|
1305 |
+
"step": 1840
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 4.6,
|
1309 |
+
"learning_rate": 7.960199004975125e-07,
|
1310 |
+
"loss": 0.0471,
|
1311 |
+
"step": 1850
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 4.63,
|
1315 |
+
"learning_rate": 7.462686567164179e-07,
|
1316 |
+
"loss": 0.1176,
|
1317 |
+
"step": 1860
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 4.65,
|
1321 |
+
"learning_rate": 6.965174129353235e-07,
|
1322 |
+
"loss": 0.1874,
|
1323 |
+
"step": 1870
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 4.68,
|
1327 |
+
"learning_rate": 6.467661691542289e-07,
|
1328 |
+
"loss": 0.159,
|
1329 |
+
"step": 1880
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 4.7,
|
1333 |
+
"learning_rate": 5.970149253731343e-07,
|
1334 |
+
"loss": 0.0975,
|
1335 |
+
"step": 1890
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 4.73,
|
1339 |
+
"learning_rate": 5.472636815920398e-07,
|
1340 |
+
"loss": 0.0947,
|
1341 |
+
"step": 1900
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 4.75,
|
1345 |
+
"learning_rate": 4.975124378109453e-07,
|
1346 |
+
"loss": 0.0872,
|
1347 |
+
"step": 1910
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 4.78,
|
1351 |
+
"learning_rate": 4.4776119402985074e-07,
|
1352 |
+
"loss": 0.0993,
|
1353 |
+
"step": 1920
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 4.8,
|
1357 |
+
"learning_rate": 3.9800995024875624e-07,
|
1358 |
+
"loss": 0.1159,
|
1359 |
+
"step": 1930
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 4.83,
|
1363 |
+
"learning_rate": 3.4825870646766175e-07,
|
1364 |
+
"loss": 0.1865,
|
1365 |
+
"step": 1940
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 4.85,
|
1369 |
+
"learning_rate": 2.9850746268656716e-07,
|
1370 |
+
"loss": 0.1229,
|
1371 |
+
"step": 1950
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 4.88,
|
1375 |
+
"learning_rate": 2.4875621890547267e-07,
|
1376 |
+
"loss": 0.1395,
|
1377 |
+
"step": 1960
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 4.9,
|
1381 |
+
"learning_rate": 1.9900497512437812e-07,
|
1382 |
+
"loss": 0.1113,
|
1383 |
+
"step": 1970
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 4.93,
|
1387 |
+
"learning_rate": 1.4925373134328358e-07,
|
1388 |
+
"loss": 0.1167,
|
1389 |
+
"step": 1980
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 4.95,
|
1393 |
+
"learning_rate": 9.950248756218906e-08,
|
1394 |
+
"loss": 0.093,
|
1395 |
+
"step": 1990
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 4.98,
|
1399 |
+
"learning_rate": 4.975124378109453e-08,
|
1400 |
+
"loss": 0.1402,
|
1401 |
+
"step": 2000
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 5.0,
|
1405 |
+
"learning_rate": 0.0,
|
1406 |
+
"loss": 0.0734,
|
1407 |
+
"step": 2010
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 5.0,
|
1411 |
+
"eval_DeTox:accuracy": 0.8193146417445483,
|
1412 |
+
"eval_DeTox:f1-macro": 0.7985762506491259,
|
1413 |
+
"eval_DeTox:precision": 0.6896551724137931,
|
1414 |
+
"eval_DeTox:recall": 0.7843137254901961,
|
1415 |
+
"eval_HASOC2019:accuracy": 0.7272727272727273,
|
1416 |
+
"eval_HASOC2019:f1-macro": 0.723205964585275,
|
1417 |
+
"eval_HASOC2019:precision": 0.5555555555555556,
|
1418 |
+
"eval_HASOC2019:recall": 0.9090909090909091,
|
1419 |
+
"eval_HASOC2020:accuracy": 0.6976744186046512,
|
1420 |
+
"eval_HASOC2020:f1-macro": 0.661826981246219,
|
1421 |
+
"eval_HASOC2020:precision": 0.47058823529411764,
|
1422 |
+
"eval_HASOC2020:recall": 0.6666666666666666,
|
1423 |
+
"eval_MHC:accuracy": NaN,
|
1424 |
+
"eval_MHC:f1-macro": NaN,
|
1425 |
+
"eval_MHC:precision": 0.0,
|
1426 |
+
"eval_MHC:recall": 0.0,
|
1427 |
+
"eval_RP:accuracy": 0.881578947368421,
|
1428 |
+
"eval_RP:f1-macro": 0.8672102504368084,
|
1429 |
+
"eval_RP:precision": 0.875,
|
1430 |
+
"eval_RP:recall": 0.7777777777777778,
|
1431 |
+
"eval_Round1:accuracy": NaN,
|
1432 |
+
"eval_Round1:f1-macro": NaN,
|
1433 |
+
"eval_Round1:precision": 0.0,
|
1434 |
+
"eval_Round1:recall": 0.0,
|
1435 |
+
"eval_Round2:accuracy": NaN,
|
1436 |
+
"eval_Round2:f1-macro": NaN,
|
1437 |
+
"eval_Round2:precision": 0.0,
|
1438 |
+
"eval_Round2:recall": 0.0,
|
1439 |
+
"eval_Round3:accuracy": NaN,
|
1440 |
+
"eval_Round3:f1-macro": NaN,
|
1441 |
+
"eval_Round3:precision": 0.0,
|
1442 |
+
"eval_Round3:recall": 0.0,
|
1443 |
+
"eval_Round4:accuracy": NaN,
|
1444 |
+
"eval_Round4:f1-macro": NaN,
|
1445 |
+
"eval_Round4:precision": 0.0,
|
1446 |
+
"eval_Round4:recall": 0.0,
|
1447 |
+
"eval_accuracy": 0.8336170212765958,
|
1448 |
+
"eval_f1-macro": 0.8283671540104293,
|
1449 |
+
"eval_loss": 0.6073299050331116,
|
1450 |
+
"eval_precision": 0.7763289869608826,
|
1451 |
+
"eval_recall": 0.821656050955414,
|
1452 |
+
"eval_runtime": 9.7194,
|
1453 |
+
"eval_samples_per_second": 241.784,
|
1454 |
+
"eval_steps_per_second": 30.249,
|
1455 |
+
"step": 2010
|
1456 |
+
}
|
1457 |
+
],
|
1458 |
+
"logging_steps": 10,
|
1459 |
+
"max_steps": 2010,
|
1460 |
+
"num_train_epochs": 5,
|
1461 |
+
"save_steps": 500,
|
1462 |
+
"total_flos": 9308565479568180.0,
|
1463 |
+
"trial_name": null,
|
1464 |
+
"trial_params": null
|
1465 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d8837d57b537787bd5a353447f8234e4d6725e03f559cf5139cb6033716f8e5a
|
3 |
+
size 4027
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|