Upload folder using huggingface_hub
Browse files- best_model/added_tokens.json +1 -0
- best_model/config.json +28 -0
- best_model/eval_results.txt +20 -0
- best_model/model_args.json +1 -0
- best_model/optimizer.pt +3 -0
- best_model/pytorch_model.bin +3 -0
- best_model/scheduler.pt +3 -0
- best_model/sentencepiece.bpe.model +3 -0
- best_model/special_tokens_map.json +1 -0
- best_model/test_eval.txt +43 -0
- best_model/tokenizer_config.json +1 -0
- best_model/training_args.bin +3 -0
best_model/added_tokens.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"<e>": 250002, "</e>": 250003}
|
best_model/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "xlm-roberta-large",
|
3 |
+
"architectures": [
|
4 |
+
"XLMRobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 1024,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 4096,
|
15 |
+
"layer_norm_eps": 1e-05,
|
16 |
+
"max_position_embeddings": 514,
|
17 |
+
"model_type": "xlm-roberta",
|
18 |
+
"num_attention_heads": 16,
|
19 |
+
"num_hidden_layers": 24,
|
20 |
+
"output_past": true,
|
21 |
+
"pad_token_id": 1,
|
22 |
+
"position_embedding_type": "absolute",
|
23 |
+
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.16.2",
|
25 |
+
"type_vocab_size": 1,
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 250004
|
28 |
+
}
|
best_model/eval_results.txt
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
accuracy = 0.8231368186874305
|
2 |
+
cls_report = precision recall f1-score support
|
3 |
+
|
4 |
+
0.0 0.8438 0.8094 0.8262 467
|
5 |
+
1.0 0.8027 0.8380 0.8199 432
|
6 |
+
|
7 |
+
accuracy 0.8231 899
|
8 |
+
macro avg 0.8232 0.8237 0.8231 899
|
9 |
+
weighted avg 0.8240 0.8231 0.8232 899
|
10 |
+
|
11 |
+
eval_loss = 0.4131800134976705
|
12 |
+
fn = 70
|
13 |
+
fp = 89
|
14 |
+
macro_f1 = 0.8230807790134229
|
15 |
+
mcc = 0.6468975958608317
|
16 |
+
tn = 378
|
17 |
+
tp = 362
|
18 |
+
weighted_f1 = 0.8232033658003144
|
19 |
+
weighted_p = 0.8232053769401331
|
20 |
+
weighted_r = 0.8236924022523594
|
best_model/model_args.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"adam_epsilon": 1e-08, "begin_tag": "<e>", "best_model_dir": "best_model", "cache_dir": "temp/cache_dir/", "config": {}, "custom_layer_parameters": [], "custom_parameter_groups": [], "dataloader_num_workers": 70, "do_lower_case": false, "dynamic_quantize": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 10, "encoding": null, "end_tag": "</e>", "eval_batch_size": 64, "evaluate_during_training": true, "evaluate_during_training_silent": false, "evaluate_during_training_steps": 100, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": false, "gradient_accumulation_steps": 1, "learning_rate": 1e-05, "local_rank": -1, "logging_steps": 100, "manual_seed": 777, "max_grad_norm": 1.0, "max_seq_length": 120, "model_name": "xlm-roberta-large", "model_type": "xlmroberta", "multiprocessing_chunksize": 500, "n_gpu": 1, "no_cache": false, "no_save": false, "num_train_epochs": 3, "output_dir": "temp/outputs/", "overwrite_output_dir": true, "process_count": 70, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": false, "save_model_every_epoch": false, "save_optimizer_and_scheduler": true, "save_steps": 100, "save_recent_only": true, "silent": false, "tensorboard_dir": null, "thread_count": null, "train_batch_size": 8, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": true, "use_multiprocessing": false, "wandb_kwargs": {"group": "en-en_xlm-roberta-large_B_concat", "job_type": "2"}, "wandb_project": "TransWiC-groups", "warmup_ratio": 0.1, "warmup_steps": 304, "weight_decay": 0, "skip_special_tokens": true, "model_class": "ClassificationModel", "labels_list": [0, 1], "labels_map": {}, "lazy_delimiter": "\t", "lazy_labels_column": 1, "lazy_loading": false, "lazy_loading_start_line": 1, "lazy_text_a_column": null, "lazy_text_b_column": null, "lazy_text_column": 0, "onnx": false, "regression": false, "sliding_window": false, "stride": 0.8, "tie_value": 1, "tagging": true, "strategy": "B", "special_tags": ["<e>"], "merge_n": 2, "merge_type": "concat"}
|
best_model/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c54ba09cd65bc16df81ee3f69b6e6231022d077f9ebddbd00484807ba6ec1b16
|
3 |
+
size 4504578173
|
best_model/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5962df5355a3823c71cc790f7d91ae5ad82d4916fd0bfdae20fbd45130a350b4
|
3 |
+
size 2256539453
|
best_model/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:603e994655cf3ec4d6084c28df34193c3cf6ad356dd7b152e73720eae863d034
|
3 |
+
size 627
|
best_model/sentencepiece.bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
3 |
+
size 5069051
|
best_model/special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
|
best_model/test_eval.txt
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Default classification report:
|
2 |
+
precision recall f1-score support
|
3 |
+
|
4 |
+
F 0.8938 0.8920 0.8929 500
|
5 |
+
T 0.8922 0.8940 0.8931 500
|
6 |
+
|
7 |
+
accuracy 0.8930 1000
|
8 |
+
macro avg 0.8930 0.8930 0.8930 1000
|
9 |
+
weighted avg 0.8930 0.8930 0.8930 1000
|
10 |
+
|
11 |
+
|
12 |
+
ADJ
|
13 |
+
Accuracy = 0.8888888888888888
|
14 |
+
Weighted Recall = 0.8888888888888888
|
15 |
+
Weighted Precision = 0.8911181047294343
|
16 |
+
Weighted F1 = 0.8884344909661366
|
17 |
+
Macro Recall = 0.8862229102167183
|
18 |
+
Macro Precision = 0.8926042486231314
|
19 |
+
Macro F1 = 0.8878286270691333
|
20 |
+
ADV
|
21 |
+
Accuracy = 0.7666666666666667
|
22 |
+
Weighted Recall = 0.7666666666666667
|
23 |
+
Weighted Precision = 0.7710407239819003
|
24 |
+
Weighted F1 = 0.768
|
25 |
+
Macro Recall = 0.7638888888888888
|
26 |
+
Macro Precision = 0.7579185520361991
|
27 |
+
Macro F1 = 0.7599999999999999
|
28 |
+
NOUN
|
29 |
+
Accuracy = 0.8977272727272727
|
30 |
+
Weighted Recall = 0.8977272727272727
|
31 |
+
Weighted Precision = 0.8979415917148259
|
32 |
+
Weighted F1 = 0.8977184677516136
|
33 |
+
Macro Recall = 0.8977688499892389
|
34 |
+
Macro Precision = 0.8979058718835671
|
35 |
+
Macro F1 = 0.8977214027434999
|
36 |
+
VERB
|
37 |
+
Accuracy = 0.8993288590604027
|
38 |
+
Weighted Recall = 0.8993288590604027
|
39 |
+
Weighted Precision = 0.9019358933671848
|
40 |
+
Weighted F1 = 0.899165350778254
|
41 |
+
Macro Recall = 0.8993288590604027
|
42 |
+
Macro Precision = 0.901935893367185
|
43 |
+
Macro F1 = 0.899165350778254
|
best_model/tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "do_lower_case": false, "special_tokens_map_file": null, "tokenizer_file": "/data2/hh2/hf_cache/transformers/7766c86e10505ed9b39af34e456480399bf06e35b36b8f2b917460a2dbe94e59.a984cf52fc87644bd4a2165f1e07e0ac880272c1e82d648b4674907056912bd7", "name_or_path": "xlm-roberta-large", "tokenizer_class": "XLMRobertaTokenizer"}
|
best_model/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:64c77d2b49c5b944a2647c8f79c1a7642c3f7f4a01319a2224b3ac047db6df14
|
3 |
+
size 2811
|