Upload folder using huggingface_hub
Browse files- all_results.json +22 -0
- config.json +28 -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": 0.49,
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"df_loss": 2.2806763648986816,
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"dr_accuracy": 0.9940408163265306,
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"dr_loss": 0.023024914786219597,
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"dt_accuracy": 0.85348,
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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": 0.7520160000000001,
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"ood_accuracy": 0.7672106546614144,
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"ood_loss": 0.9359132647514343,
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"test_accuracy": 0.85348,
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"test_loss": 0.5763411521911621,
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"total_flos": 9866664576000000.0,
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| 15 |
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"train_loss": 0.11303810166784158,
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| 16 |
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"train_runtime": 1151.5408,
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| 17 |
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"train_samples_per_second": 130.26,
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| 18 |
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"train_steps_per_second": 4.075,
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| 19 |
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"unlearn_overall_accuracy": 0.9785695310105242,
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"unlearn_time": 1152.9631967544556,
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"zrf": 0.8136645929425435
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}
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config.json
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{
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"_name_or_path": "jialicheng/imdb-bert-base",
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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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"finetuning_task": "text-classification",
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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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"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": "bert",
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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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"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": 0.49,
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"df_loss": 2.2806763648986816
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}
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dr_results.json
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{
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"dr_accuracy": 0.9940408163265306,
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"dr_loss": 0.023024914786219597
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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 sha256:6464983fb93cda53bfbef2127d5c755a3cb545187a4966d2c846ba0caa5dc17d
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size 437958648
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ood_results.json
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{
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"ood_accuracy": 0.7672106546614144,
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"ood_loss": 0.9359132647514343
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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 sha256:848469643268abf846ac1118aa2dbf9077f76f307e0745718848567dae891276
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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:c1590333209ad18a9ca23ef3b5c85a1fbf8ff88ab767765179c5c83957fc5bd5
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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 sha256:43c399b517dd987a258eee60fe1941da5599edce958249aeb8147d96563fed31
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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:f345cf0526ad32c99fdcc305bf5664ca59f0fbab36b0479d031bea6bd84ea602
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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 sha256:14a56b2e16bcc827f73a8c2f3861ffcd6d5e7d1ab5204b384c84b5ee652fd6f4
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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": 0.85348,
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"test_loss": 0.5763411521911621
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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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"0": {
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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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"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": {
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| 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
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| 26 |
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},
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| 27 |
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"102": {
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| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
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| 30 |
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"normalized": false,
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| 31 |
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"rstrip": false,
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| 32 |
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"single_word": false,
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| 33 |
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"special": true
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| 34 |
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},
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| 35 |
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"103": {
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| 36 |
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"content": "[MASK]",
|
| 37 |
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"lstrip": false,
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| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
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"single_word": false,
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| 41 |
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"special": true
|
| 42 |
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}
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| 43 |
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},
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| 44 |
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"clean_up_tokenization_spaces": false,
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| 45 |
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"cls_token": "[CLS]",
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| 46 |
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"do_lower_case": true,
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| 47 |
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"extra_special_tokens": {},
|
| 48 |
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"mask_token": "[MASK]",
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| 49 |
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"model_max_length": 512,
|
| 50 |
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"pad_token": "[PAD]",
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| 51 |
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"sep_token": "[SEP]",
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| 52 |
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"strip_accents": null,
|
| 53 |
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"tokenize_chinese_chars": true,
|
| 54 |
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"tokenizer_class": "BertTokenizer",
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| 55 |
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"unk_token": "[UNK]"
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| 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,
|
| 3 |
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"total_flos": 9866664576000000.0,
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| 4 |
+
"train_loss": 0.11303810166784158,
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| 5 |
+
"train_runtime": 1151.5408,
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| 6 |
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"train_samples_per_second": 130.26,
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| 7 |
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"train_steps_per_second": 4.075
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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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{
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| 2 |
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"best_metric": 0.9785695310105242,
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| 3 |
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"best_model_checkpoint": "../../checkpoint/unlearn_so/imdb/bert-base/random_label/2.0/42/checkpoint-2346",
|
| 4 |
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"epoch": 6.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
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"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 |
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"df_accuracy": 0.816,
|
| 13 |
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"dt_accuracy": 0.85984,
|
| 14 |
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"epoch": 1.0,
|
| 15 |
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"eval_accuracy": 0.85984,
|
| 16 |
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"eval_loss": 0.4608308970928192,
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| 17 |
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"eval_runtime": 38.3848,
|
| 18 |
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"eval_samples_per_second": 651.3,
|
| 19 |
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"eval_steps_per_second": 2.553,
|
| 20 |
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"eval_unlearn_overall_accuracy": 0.803556413473603,
|
| 21 |
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"step": 782,
|
| 22 |
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"unlearn_overall_accuracy": 0.803556413473603,
|
| 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": 2.81589412689209,
|
| 28 |
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"learning_rate": 3.934356351236147e-05,
|
| 29 |
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"loss": 0.2035,
|
| 30 |
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"step": 1000
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
+
"df_accuracy": 0.62,
|
| 34 |
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"dt_accuracy": 0.84424,
|
| 35 |
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"epoch": 2.0,
|
| 36 |
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"eval_accuracy": 0.84424,
|
| 37 |
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"eval_loss": 0.4651459753513336,
|
| 38 |
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"eval_runtime": 37.8704,
|
| 39 |
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"eval_samples_per_second": 660.147,
|
| 40 |
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"eval_steps_per_second": 2.588,
|
| 41 |
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"eval_unlearn_overall_accuracy": 0.9174182878530706,
|
| 42 |
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"step": 1564,
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 5496
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unlearn_final_results.json
ADDED
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@@ -0,0 +1,11 @@
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vocab.txt
ADDED
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