Ubuntu
commited on
Commit
•
4ddac69
1
Parent(s):
f01532f
Upload finetuned model weight
Browse files- all_results.json +11 -0
- config.json +38 -0
- eval_results.json +8 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.json +6 -0
- trainer_state.json +461 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
all_results.json
ADDED
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8858828315703824,
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"eval_loss": 0.4064849317073822,
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"eval_runtime": 32.1089,
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"eval_samples": 9832,
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"eval_samples_per_second": 306.208,
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"train_runtime": 17429.7891,
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"train_samples": 392702,
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"train_samples_per_second": 2.112
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}
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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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"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": "4.6.0.dev0",
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"type_vocab_size": 2,
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"vocab_size": 30522
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8858828315703824,
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"eval_loss": 0.4064849317073822,
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"eval_runtime": 32.1089,
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"eval_samples": 9832,
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"eval_samples_per_second": 306.208
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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:dbf9b4efdd68d267965785f10c40b1d2b3f2ea845adf2fd37b9a868eaae67b31
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size 438026775
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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_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"}
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train_results.json
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{
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"epoch": 3.0,
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"train_runtime": 17429.7891,
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"train_samples": 392702,
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"train_samples_per_second": 2.112
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 3.0,
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"global_step": 36816,
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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": 0.04,
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"learning_rate": 1.9728378965667103e-05,
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"loss": 0.6455,
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"step": 500
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},
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{
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"epoch": 0.08,
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"loss": 0.4837,
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"step": 1000
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},
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{
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"epoch": 0.12,
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"loss": 0.4492,
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"step": 1500
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},
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{
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"epoch": 0.16,
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"learning_rate": 1.8913515862668405e-05,
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"loss": 0.439,
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"step": 2000
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| 33 |
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},
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| 34 |
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{
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"epoch": 0.2,
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| 36 |
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"learning_rate": 1.8641894828335507e-05,
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"loss": 0.4239,
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"step": 2500
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| 39 |
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},
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| 40 |
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{
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"epoch": 0.24,
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"learning_rate": 1.837027379400261e-05,
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"loss": 0.416,
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"step": 3000
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},
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{
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"epoch": 0.29,
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"learning_rate": 1.809865275966971e-05,
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"loss": 0.3981,
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},
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{
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"epoch": 0.33,
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"learning_rate": 1.7827031725336812e-05,
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"loss": 0.4026,
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"step": 4000
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},
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| 58 |
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{
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"epoch": 0.37,
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"learning_rate": 1.7555410691003914e-05,
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"loss": 0.3964,
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"step": 4500
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},
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{
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"epoch": 0.41,
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