Upload folder using huggingface_hub
Browse files- all_results.json +22 -0
- config.json +32 -0
- df_results.json +4 -0
- dr_results.json +4 -0
- model.safetensors +3 -0
- ood_results.json +4 -0
- pred_logit_df.npy +3 -0
- pred_logit_dr.npy +3 -0
- pred_logit_eval.npy +3 -0
- pred_logit_ood.npy +3 -0
- pred_logit_test.npy +3 -0
- special_tokens_map.json +7 -0
- test_results.json +4 -0
- tokenizer.json +0 -0
- tokenizer_config.json +56 -0
- train_results.json +8 -0
- trainer_state.json +154 -0
- training_args.bin +3 -0
- unlearn_final_results.json +11 -0
- vocab.txt +0 -0
all_results.json
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{
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"df_accuracy": 0.51,
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"df_loss": 1.5425188541412354,
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"dr_accuracy": 0.995265306122449,
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"dr_loss": 0.021629396826028824,
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| 6 |
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"dt_accuracy": 0.89332,
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"epoch": 6.0,
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| 8 |
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"eval_unlearn_overall_accuracy": 0,
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| 9 |
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"knowledge_gap": 0.74251,
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"ood_accuracy": 0.850966047645845,
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"ood_loss": 0.6169689297676086,
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"test_accuracy": 0.89332,
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"test_loss": 0.44322600960731506,
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| 14 |
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"total_flos": 9866664576000000.0,
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| 15 |
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"train_loss": 0.08846605972459147,
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| 16 |
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"train_runtime": 1091.0951,
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| 17 |
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"train_samples_per_second": 137.477,
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| 18 |
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"train_steps_per_second": 4.3,
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| 19 |
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"unlearn_overall_accuracy": 0.9869908814589666,
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"unlearn_time": 1091.498844385147,
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"zrf": 0.8523870413952953
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}
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config.json
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{
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"_name_or_path": "jialicheng/imdb-electra-base",
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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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"classifier_dropout": null,
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"embedding_size": 768,
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"finetuning_task": "text-classification",
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"torch_dtype": "float32",
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"transformers_version": "4.48.0",
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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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df_results.json
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{
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"df_accuracy": 0.51,
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"df_loss": 1.5425188541412354
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}
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dr_results.json
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{
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"dr_accuracy": 0.995265306122449,
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"dr_loss": 0.021629396826028824
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1995937034121749e524ea571570c123c7f343b963ee1a65786279b6a636123c
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size 437959248
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ood_results.json
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{
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"ood_accuracy": 0.850966047645845,
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"ood_loss": 0.6169689297676086
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}
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pred_logit_df.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:463f3910741b4896dae4bf01bde35e681bbe62ab0ff67452fa3309e5bcdfcfe6
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size 4128
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pred_logit_dr.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ec48bf9ac751ef57b17965649238ed406ac4a8e8c423bb3f8b73d4b993620d8
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size 196128
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pred_logit_eval.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:ebab6bffd362ad28e1875ef0c7f6d462f1a22793d1cfb95d3d22f78a82bc6d73
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size 200128
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pred_logit_ood.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a0a5843082fbb7c3466878957190b24924454c15b7349e873581850ed9801ad
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size 85424
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pred_logit_test.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:85147af398ee7c4fed8d93d7a47903578aec798c1631a271ee8ed319fe9e62e8
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size 200128
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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test_results.json
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{
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"test_accuracy": 0.89332,
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"test_loss": 0.44322600960731506
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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"content": "[PAD]",
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| 5 |
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"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
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"rstrip": false,
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| 8 |
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"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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| 11 |
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"100": {
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| 12 |
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"content": "[UNK]",
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| 13 |
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"lstrip": false,
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| 14 |
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"normalized": false,
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| 15 |
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"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
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},
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| 19 |
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"101": {
|
| 20 |
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"content": "[CLS]",
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| 21 |
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"lstrip": false,
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| 22 |
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"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
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"single_word": false,
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| 25 |
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"special": true
|
| 26 |
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},
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| 27 |
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"102": {
|
| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
|
| 30 |
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"normalized": false,
|
| 31 |
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"rstrip": false,
|
| 32 |
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"single_word": false,
|
| 33 |
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"special": true
|
| 34 |
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},
|
| 35 |
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"103": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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"lstrip": false,
|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
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"single_word": false,
|
| 41 |
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"special": true
|
| 42 |
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}
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| 43 |
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},
|
| 44 |
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"clean_up_tokenization_spaces": false,
|
| 45 |
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"cls_token": "[CLS]",
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| 46 |
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"do_lower_case": true,
|
| 47 |
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"extra_special_tokens": {},
|
| 48 |
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"mask_token": "[MASK]",
|
| 49 |
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"model_max_length": 512,
|
| 50 |
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"pad_token": "[PAD]",
|
| 51 |
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"sep_token": "[SEP]",
|
| 52 |
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"strip_accents": null,
|
| 53 |
+
"tokenize_chinese_chars": true,
|
| 54 |
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"tokenizer_class": "ElectraTokenizer",
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| 55 |
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"unk_token": "[UNK]"
|
| 56 |
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}
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train_results.json
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{
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| 2 |
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"epoch": 6.0,
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| 3 |
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"total_flos": 9866664576000000.0,
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| 4 |
+
"train_loss": 0.08846605972459147,
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| 5 |
+
"train_runtime": 1091.0951,
|
| 6 |
+
"train_samples_per_second": 137.477,
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| 7 |
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"train_steps_per_second": 4.3
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| 8 |
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}
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trainer_state.json
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| 1 |
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{
|
| 2 |
+
"best_metric": 0.9869908814589666,
|
| 3 |
+
"best_model_checkpoint": "../../checkpoint/unlearn/imdb/electra-base/random_label/2.0/87/checkpoint-3128",
|
| 4 |
+
"epoch": 6.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 4692,
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| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
|
| 12 |
+
"df_accuracy": 0.954,
|
| 13 |
+
"dt_accuracy": 0.898,
|
| 14 |
+
"epoch": 1.0,
|
| 15 |
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"eval_accuracy": 0.898,
|
| 16 |
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"eval_loss": 0.36999785900115967,
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| 17 |
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"eval_runtime": 40.7872,
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| 18 |
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"eval_samples_per_second": 612.938,
|
| 19 |
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"eval_steps_per_second": 2.403,
|
| 20 |
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"eval_unlearn_overall_accuracy": 0.7034942528735633,
|
| 21 |
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"step": 782,
|
| 22 |
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"unlearn_overall_accuracy": 0.7034942528735633,
|
| 23 |
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"unlearn_time": null
|
| 24 |
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},
|
| 25 |
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{
|
| 26 |
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"epoch": 1.278772378516624,
|
| 27 |
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"grad_norm": 0.38743796944618225,
|
| 28 |
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"learning_rate": 3.934356351236147e-05,
|
| 29 |
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"loss": 0.1224,
|
| 30 |
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"step": 1000
|
| 31 |
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},
|
| 32 |
+
{
|
| 33 |
+
"df_accuracy": 0.894,
|
| 34 |
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"dt_accuracy": 0.90348,
|
| 35 |
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"epoch": 2.0,
|
| 36 |
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"eval_accuracy": 0.90348,
|
| 37 |
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"eval_loss": 0.38031086325645447,
|
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training_args.bin
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unlearn_final_results.json
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vocab.txt
ADDED
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