josecannete
commited on
Commit
•
08d2dcd
1
Parent(s):
584427d
adding model finetuned on MLDoc
Browse files- all_results.json +14 -0
- config.json +40 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +103 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9739999771118164,
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"eval_loss": 0.1305142641067505,
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"eval_runtime": 4.1433,
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"eval_samples": 1000,
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"eval_samples_per_second": 241.351,
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"eval_steps_per_second": 7.723,
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"train_loss": 0.06248773110879434,
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"train_runtime": 2406.595,
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"train_samples": 9458,
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"train_samples_per_second": 11.79,
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"train_steps_per_second": 0.369
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}
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config.json
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{
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"_name_or_path": "dccuchile/bert-base-spanish-wwm-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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"classifier_dropout": null,
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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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"3": "LABEL_3"
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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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"LABEL_3": 3
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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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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.12.5",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31002
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9739999771118164,
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"eval_loss": 0.1305142641067505,
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"eval_runtime": 4.1433,
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"eval_samples": 1000,
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"eval_samples_per_second": 241.351,
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"eval_steps_per_second": 7.723
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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 sha256:1e201172ef2f495ab4d44986029aab980a8af3a087883da4d48e9bd6fe8b9197
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size 439499949
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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": false, "do_basic_tokenize": true, "never_split": null, "model_max_length": 512, "special_tokens_map_file": "/data/jcanete/cache/78141ed1e8dcc5ff370950397ca0d1c5c9da478f54ec14544187d8a93eff1a26.f982506b52498d4adb4bd491f593dc92b2ef6be61bfdbe9d30f53f963f9f5b66", "name_or_path": "dccuchile/bert-base-spanish-wwm-uncased", "tokenizer_class": "BertTokenizer"}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.06248773110879434,
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"train_runtime": 2406.595,
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"train_samples": 9458,
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"train_samples_per_second": 11.79,
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"train_steps_per_second": 0.369
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}
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trainer_state.json
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{
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"best_metric": 0.1305142641067505,
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"best_model_checkpoint": "/data/jcanete/all_results/mldoc/beto_uncased/epochs_3_bs_32_lr_2e-5/checkpoint-700",
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"epoch": 3.0,
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"global_step": 888,
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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": 0.34,
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"eval_accuracy": 0.9110000133514404,
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"eval_runtime": 8.5211,
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"eval_samples_per_second": 117.356,
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"eval_steps_per_second": 3.755,
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"step": 100
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},
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{
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"epoch": 0.68,
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"eval_accuracy": 0.921999990940094,
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"eval_loss": 0.2501136362552643,
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"eval_runtime": 7.3325,
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"eval_samples_per_second": 136.379,
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"eval_steps_per_second": 4.364,
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"step": 200
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},
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{
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"epoch": 1.01,
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"eval_accuracy": 0.9570000171661377,
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"eval_loss": 0.18152756989002228,
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"eval_runtime": 4.1659,
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"eval_samples_per_second": 240.043,
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"eval_steps_per_second": 7.681,
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"step": 300
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},
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{
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"epoch": 1.35,
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"eval_accuracy": 0.9649999737739563,
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"step": 400
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},
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{
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"epoch": 1.69,
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"learning_rate": 8.738738738738739e-06,
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},
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{
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},
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{
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},
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{
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},
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{
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},
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{
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"epoch": 3.0,
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"step": 888,
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"total_flos": 6921827938826112.0,
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"train_loss": 0.06248773110879434,
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"train_runtime": 2406.595,
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"train_samples_per_second": 11.79,
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"train_steps_per_second": 0.369
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}
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],
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"max_steps": 888,
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"num_train_epochs": 3,
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"total_flos": 6921827938826112.0,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:044ba870746a26466cef510763104d7e67b848f167ff5c269897a7b3a7fe78a3
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size 2863
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vocab.txt
ADDED
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