Add model and its dependencies
Browse files- config.json +44 -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
config.json
ADDED
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{
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"_name_or_path": "albert-base-v2",
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"architectures": [
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"AlbertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"finetuning_task": "mnli",
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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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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"inner_group_num": 1,
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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": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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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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"vocab_size": 30000
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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 sha256:96db18d6b91e03115853372caa2b59a49db9ce10ebc92df07748aab783484052
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size 46758609
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special_tokens_map.json
ADDED
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": true, "remove_space": true, "keep_accents": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "albert-base-v2", "tokenizer_class": "AlbertTokenizer"}
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trainer_state.json
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{
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"best_metric": 0.8472745797249108,
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"best_model_checkpoint": "./outputs/albert-base-uncased/fine_tuned_models/checkpoint-9204",
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"epoch": 5.0,
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"global_step": 15340,
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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": 2.5673640167364017e-05,
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"loss": 0.5338,
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"step": 3068
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.8337238920020377,
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"eval_loss": 0.42842260003089905,
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"eval_runtime": 32.4611,
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"eval_samples_per_second": 302.362,
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"eval_steps_per_second": 37.799,
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"step": 3068
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},
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{
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"epoch": 2.0,
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"learning_rate": 1.9255230125523012e-05,
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"loss": 0.3616,
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"step": 6136
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.8427916454406521,
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"eval_loss": 0.41475561261177063,
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"eval_runtime": 32.3849,
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"eval_samples_per_second": 303.074,
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"eval_steps_per_second": 37.888,
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"step": 6136
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},
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{
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"epoch": 3.0,
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"learning_rate": 1.2836820083682009e-05,
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"loss": 0.258,
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"step": 9204
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},
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8472745797249108,
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"eval_loss": 0.4169335663318634,
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"eval_runtime": 32.3875,
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"eval_samples_per_second": 303.049,
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"eval_steps_per_second": 37.885,
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"step": 9204
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},
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{
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"epoch": 4.0,
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"learning_rate": 6.418410041841004e-06,
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"loss": 0.1629,
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"step": 12272
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},
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8429954151808456,
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"eval_loss": 0.514365017414093,
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"eval_runtime": 32.4249,
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"eval_samples_per_second": 302.7,
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"eval_steps_per_second": 37.841,
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"step": 12272
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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": 0.0872,
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"step": 15340
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},
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{
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"epoch": 5.0,
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"eval_accuracy": 0.8393275598573612,
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"eval_runtime": 32.4279,
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"eval_samples_per_second": 302.671,
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"eval_steps_per_second": 37.838,
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"step": 15340
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},
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{
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"epoch": 5.0,
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"step": 15340,
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"total_flos": 1.762203942713088e+16,
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"train_loss": 0.2806968082194223,
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"train_runtime": 15169.7185,
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"train_samples_per_second": 129.436,
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"train_steps_per_second": 1.011
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}
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],
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"max_steps": 15340,
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"num_train_epochs": 5,
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"total_flos": 1.762203942713088e+16,
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"trial_name": null,
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"trial_params": null
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}
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