nhanv
commited on
Commit
·
dd20389
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Parent(s):
fdad744
upload model
Browse files- README.md +74 -0
- added_tokens.json +3 -0
- all_results.json +17 -0
- config.json +118 -0
- eval_results.json +12 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- train_results.json +8 -0
- trainer_state.json +517 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: reco-ner
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# reco-ner
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0668
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- Precision: 0.8125
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- Recall: 0.8790
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- F1: 0.8444
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- Accuracy: 0.9819
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.4516 | 1.0 | 626 | 0.4047 | 0.4332 | 0.4564 | 0.4445 | 0.8980 |
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| 0.3677 | 2.0 | 1252 | 0.2774 | 0.4918 | 0.5731 | 0.5293 | 0.9193 |
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| 0.2892 | 3.0 | 1878 | 0.2133 | 0.6139 | 0.6581 | 0.6353 | 0.9384 |
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| 0.2736 | 4.0 | 2504 | 0.1772 | 0.6248 | 0.6854 | 0.6537 | 0.9488 |
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| 0.221 | 5.0 | 3130 | 0.1503 | 0.6295 | 0.7328 | 0.6772 | 0.9560 |
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| 0.1569 | 6.0 | 3756 | 0.1283 | 0.6821 | 0.8108 | 0.7409 | 0.9623 |
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| 0.1534 | 7.0 | 4382 | 0.0995 | 0.7412 | 0.8119 | 0.7749 | 0.9708 |
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| 0.089 | 8.0 | 5008 | 0.0846 | 0.7695 | 0.8353 | 0.8010 | 0.9760 |
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| 0.0923 | 9.0 | 5634 | 0.0743 | 0.7881 | 0.8740 | 0.8289 | 0.9789 |
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| 0.0711 | 10.0 | 6260 | 0.0668 | 0.8125 | 0.8790 | 0.8444 | 0.9819 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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added_tokens.json
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{
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"[MASK]": 128000
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}
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9819289686983922,
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"eval_f1": 0.8444211629125196,
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"eval_loss": 0.06683139503002167,
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"eval_precision": 0.8125,
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"eval_recall": 0.8789531079607416,
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"eval_runtime": 68.0971,
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"eval_samples": 10007,
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"eval_samples_per_second": 146.952,
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"eval_steps_per_second": 36.742,
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"train_loss": 0.217802461039144,
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"train_runtime": 2284.8138,
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"train_samples": 10007,
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"train_samples_per_second": 43.798,
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"train_steps_per_second": 2.74
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-base",
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"architectures": [
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"DebertaV2ForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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-Company",
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"1": "B-Date",
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"2": "B-Degree",
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"3": "B-Education",
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"4": "B-Email",
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"5": "B-Experiments",
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"6": "B-Gender",
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"7": "B-Institution",
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"8": "B-Job",
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"9": "B-Language",
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"10": "B-Location",
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"11": "B-Name",
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"12": "B-Overall",
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"13": "B-Phone",
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"14": "B-Position",
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"15": "B-Program",
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"16": "B-Project",
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"17": "B-Skill",
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"18": "B-Training",
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"19": "I-Company",
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"20": "I-Date",
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"21": "I-Degree",
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"22": "I-Education",
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"23": "I-Email",
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"24": "I-Experiments",
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"25": "I-Gender",
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"26": "I-Institution",
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"27": "I-Job",
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"28": "I-Language",
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"29": "I-Location",
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"30": "I-Name",
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"31": "I-Overall",
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"32": "I-Phone",
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"33": "I-Position",
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"34": "I-Program",
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"35": "I-Project",
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"36": "I-Skill",
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"37": "I-Training",
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"38": "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-Company": 0,
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"B-Date": 1,
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"B-Degree": 2,
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"B-Education": 3,
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"B-Email": 4,
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"B-Experiments": 5,
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"B-Gender": 6,
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"B-Institution": 7,
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"B-Job": 8,
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"B-Language": 9,
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"B-Location": 10,
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"B-Name": 11,
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"B-Overall": 12,
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"B-Phone": 13,
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"B-Position": 14,
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"B-Program": 15,
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"B-Project": 16,
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"B-Skill": 17,
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"B-Training": 18,
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"I-Company": 19,
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"I-Date": 20,
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"I-Degree": 21,
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"I-Education": 22,
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"I-Email": 23,
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"I-Experiments": 24,
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"I-Gender": 25,
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"I-Institution": 26,
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"I-Job": 27,
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"I-Language": 28,
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"I-Location": 29,
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"I-Name": 30,
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"I-Overall": 31,
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"I-Phone": 32,
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"I-Position": 33,
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"I-Program": 34,
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"I-Project": 35,
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"I-Skill": 36,
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"I-Training": 37,
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"O": 38
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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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_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.22.2",
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"type_vocab_size": 0,
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"vocab_size": 128100
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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_accuracy": 0.9819289686983922,
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"eval_f1": 0.8444211629125196,
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"eval_loss": 0.06683139503002167,
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"eval_precision": 0.8125,
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"eval_recall": 0.8789531079607416,
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"eval_runtime": 68.0971,
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"eval_samples": 10007,
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"eval_samples_per_second": 146.952,
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"eval_steps_per_second": 36.742
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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 sha256:66f39653aeab7fecd9de7b8637713cc73ba309bfc75eb188bfdabc2aceaba97a
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size 735517743
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"name_or_path": "microsoft/deberta-v3-base",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"special_tokens_map_file": null,
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.217802461039144,
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"train_runtime": 2284.8138,
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"train_samples": 10007,
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"train_samples_per_second": 43.798,
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"train_steps_per_second": 2.74
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}
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trainer_state.json
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