Add model and its dependencies
Browse files- config.json +36 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +91 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "mnli",
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"gradient_checkpointing": false,
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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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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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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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"transformers_version": "4.9.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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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:f0f2493d28a6cfae5eea2158d7a56753d227c192f959193454827e3009112506
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size 433334445
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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.
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-cased", "tokenizer_class": "BertTokenizer"}
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trainer_state.json
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{
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"best_metric": 0.839429444727458,
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"best_model_checkpoint": "./outputs/bert-base-cased/fine_tuned_models/checkpoint-61360",
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"epoch": 5.0,
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"global_step": 61360,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"learning_rate": 1.7388593694651082e-05,
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"loss": 0.5897,
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"step": 12272
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.822414671421294,
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"eval_loss": 0.45840176939964294,
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"eval_runtime": 73.2673,
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"eval_samples_per_second": 133.961,
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"eval_steps_per_second": 8.38,
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"step": 12272
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},
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{
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"epoch": 2.0,
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"learning_rate": 1.3041445270988312e-05,
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"loss": 0.3759,
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"step": 24544
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.8327050433010698,
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"eval_loss": 0.45654305815696716,
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"eval_runtime": 73.2832,
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"eval_samples_per_second": 133.932,
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"eval_steps_per_second": 8.378,
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"step": 24544
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},
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{
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"epoch": 3.0,
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"learning_rate": 8.694296847325541e-06,
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"loss": 0.2523,
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"step": 36816
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},
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8353540499235863,
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"eval_loss": 0.4860617220401764,
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"eval_runtime": 73.3093,
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"eval_samples_per_second": 133.885,
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"eval_steps_per_second": 8.375,
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"step": 36816
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},
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{
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"epoch": 4.0,
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"learning_rate": 4.3471484236627705e-06,
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"loss": 0.1672,
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"step": 49088
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},
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8374936321956189,
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"eval_loss": 0.5898149609565735,
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"eval_runtime": 73.2627,
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"eval_samples_per_second": 133.97,
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"eval_steps_per_second": 8.381,
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"step": 49088
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},
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{
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"epoch": 5.0,
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"learning_rate": 0.0,
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"loss": 0.1151,
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"step": 61360
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},
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{
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"epoch": 5.0,
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"eval_accuracy": 0.839429444727458,
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"eval_loss": 0.7346773743629456,
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"eval_runtime": 73.2837,
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"eval_samples_per_second": 133.932,
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"eval_steps_per_second": 8.378,
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"step": 61360
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}
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],
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"max_steps": 61360,
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"num_train_epochs": 5,
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"total_flos": 1.6333273497007872e+17,
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"trial_name": null,
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"trial_params": null
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}
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vocab.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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