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 +100 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "bert-base-uncased",
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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": 30522
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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 sha256:284d0a69302fe9ca723159cdbd306b2816041914ea9274d27938f9ddcc388c74
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size 438022317
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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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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, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
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trainer_state.json
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{
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"best_metric": 0.841874681609781,
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"best_model_checkpoint": "./outputs/bert-base-uncased/fine_tuned_models/checkpoint-24544",
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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": 0.5881,
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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": 0.8243504839531329,
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"eval_loss": 0.45057234168052673,
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"eval_runtime": 24.5225,
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"eval_samples_per_second": 400.245,
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"eval_steps_per_second": 50.036,
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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": 0.3713,
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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": 0.841874681609781,
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"eval_loss": 0.4253988265991211,
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"eval_runtime": 24.4878,
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"eval_samples_per_second": 400.813,
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"eval_steps_per_second": 50.107,
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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": 0.2488,
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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": 0.8348446255731024,
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"eval_loss": 0.4993809163570404,
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"eval_runtime": 24.5236,
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"eval_samples_per_second": 400.227,
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"eval_steps_per_second": 50.033,
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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": 0.1642,
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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": 0.8381049414161997,
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"eval_loss": 0.5760023593902588,
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"eval_runtime": 24.5051,
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"eval_samples_per_second": 400.529,
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"eval_steps_per_second": 50.071,
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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": 0.114,
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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": 0.8388181355068772,
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"eval_loss": 0.7096214294433594,
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"eval_runtime": 24.5109,
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"eval_samples_per_second": 400.434,
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"eval_steps_per_second": 50.059,
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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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"step": 61360,
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"total_flos": 1.6510003421181696e+17,
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"train_loss": 0.2972804481078624,
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"train_runtime": 13451.2052,
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"train_samples_per_second": 145.973,
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"train_steps_per_second": 4.562
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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": 1.6510003421181696e+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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