Add model and its dependencies
Browse files- config.json +39 -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": "google/electra-base-discriminator",
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"architectures": [
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"ElectraForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 768,
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"finetuning_task": "mnli",
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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": "electra",
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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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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"transformers_version": "4.9.0.dev0",
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"type_vocab_size": 2,
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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 sha256:03bc7060469f053a0e7015daafc20c7428cf675edf280a1dc3d97efb4eabd34d
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size 438023533
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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": "google/electra-base-discriminator", "tokenizer_class": "ElectraTokenizer"}
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trainer_state.json
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{
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"best_metric": 0.8860927152317881,
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"best_model_checkpoint": "./outputs/electra-base-uncased/fine_tuned_models/checkpoint-36816",
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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": 0.4571,
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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": 0.8808965868568518,
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"eval_loss": 0.3177725374698639,
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"eval_runtime": 24.4511,
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"eval_samples_per_second": 401.414,
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"eval_steps_per_second": 50.182,
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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": 0.2786,
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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": 0.8843606724401426,
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"eval_loss": 0.3345130681991577,
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"eval_runtime": 24.46,
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"eval_samples_per_second": 401.267,
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"eval_steps_per_second": 50.163,
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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": 0.1852,
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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": 0.8860927152317881,
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"eval_loss": 0.41067004203796387,
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"eval_runtime": 24.4548,
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"eval_samples_per_second": 401.352,
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"eval_steps_per_second": 50.174,
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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": 0.1257,
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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": 0.8854814060112073,
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"eval_loss": 0.4864971339702606,
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"eval_runtime": 24.4819,
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"eval_samples_per_second": 400.909,
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"eval_steps_per_second": 50.119,
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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": 0.0892,
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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": 0.8858889454915945,
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"eval_loss": 0.5802900791168213,
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"eval_runtime": 24.5033,
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"eval_samples_per_second": 400.558,
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"eval_steps_per_second": 50.075,
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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": 0.2271464799187174,
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"train_runtime": 13411.6836,
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"train_samples_per_second": 146.403,
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"train_steps_per_second": 4.575
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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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