Daniil Larionov
commited on
Commit
·
3d62abc
1
Parent(s):
851c70c
End of training
Browse files- .gitignore +1 -0
- all_results.json +33 -0
- config.json +48 -0
- eval_results.json +28 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +959 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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all_results.json
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{
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"epoch": 10.0,
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"eval_PREDICATE_f1": 0.9465648854961832,
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| 4 |
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"eval_PREDICATE_number": 129,
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| 5 |
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"eval_PREDICATE_precision": 0.9323308270676691,
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| 6 |
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"eval_PREDICATE_recall": 0.9612403100775194,
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| 7 |
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"eval_loss": 0.2416924387216568,
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| 8 |
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"eval_overall_accuracy": 0.9583558680367766,
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| 9 |
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"eval_overall_f1": 0.8395061728395061,
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| 10 |
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"eval_overall_precision": 0.8429752066115702,
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| 11 |
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"eval_overall_recall": 0.8360655737704918,
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| 12 |
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"eval_runtime": 0.5304,
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| 13 |
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"eval_samples": 96,
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| 14 |
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"eval_samples_per_second": 180.983,
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| 15 |
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"eval_steps_per_second": 22.623,
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| 16 |
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_f1": 0.0,
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_number": 1,
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_precision": 0.0,
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_recall": 0.0,
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_f1": 0.6917293233082706,
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| 21 |
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_number": 73,
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_precision": 0.7666666666666667,
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_recall": 0.6301369863013698,
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| 24 |
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_f1": 0.7555555555555555,
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_number": 41,
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_precision": 0.6938775510204082,
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_recall": 0.8292682926829268,
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"train_loss": 0.10899043403289936,
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| 29 |
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"train_runtime": 173.8981,
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| 30 |
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"train_samples": 859,
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"train_samples_per_second": 49.397,
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"train_steps_per_second": 3.105
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}
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config.json
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{
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"_name_or_path": "./ruBert-base/",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"finetuning_task": "ner",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "B-PREDICATE",
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"1": "B-\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422",
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"2": "B-\u041a\u0410\u0423\u0417\u0410\u0422\u0418\u0412",
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"3": "B-\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420",
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"4": "B-\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420",
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"5": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-PREDICATE": 0,
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"B-\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422": 1,
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"B-\u041a\u0410\u0423\u0417\u0410\u0422\u0418\u0412": 2,
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"B-\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420": 3,
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"B-\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420": 4,
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"O": 5
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.13.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 120138
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_PREDICATE_f1": 0.9465648854961832,
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"eval_PREDICATE_number": 129,
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"eval_PREDICATE_precision": 0.9323308270676691,
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"eval_PREDICATE_recall": 0.9612403100775194,
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"eval_loss": 0.2416924387216568,
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| 8 |
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"eval_overall_accuracy": 0.9583558680367766,
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| 9 |
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"eval_overall_f1": 0.8395061728395061,
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"eval_overall_precision": 0.8429752066115702,
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"eval_overall_recall": 0.8360655737704918,
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"eval_runtime": 0.5304,
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"eval_samples": 96,
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"eval_samples_per_second": 180.983,
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"eval_steps_per_second": 22.623,
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_f1": 0.0,
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_number": 1,
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| 18 |
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_precision": 0.0,
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| 19 |
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"eval_\u0418\u041d\u0421\u0422\u0420\u0423\u041c\u0415\u041d\u0422_recall": 0.0,
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| 20 |
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_f1": 0.6917293233082706,
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_number": 73,
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| 22 |
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_precision": 0.7666666666666667,
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"eval_\u041a\u0410\u0423\u0417\u0410\u0422\u041e\u0420_recall": 0.6301369863013698,
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| 24 |
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_f1": 0.7555555555555555,
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_number": 41,
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"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_precision": 0.6938775510204082,
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| 27 |
+
"eval_\u042d\u041a\u0421\u041f\u0415\u0420\u0418\u0415\u041d\u0426\u0415\u0420_recall": 0.8292682926829268
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab14cf1798a2cb5934d60be7d84ff133f9ea70fd7878d397a0bd97db208d990d
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size 710968817
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "./ruBert-base/", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.10899043403289936,
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"train_runtime": 173.8981,
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| 5 |
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"train_samples": 859,
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"train_samples_per_second": 49.397,
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"train_steps_per_second": 3.105
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}
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trainer_state.json
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