Upload folder using huggingface_hub
Browse files- all_results.json +41 -0
- mnli-m_results.json +8 -0
- mnli-mm_results.json +8 -0
- ood_results.json +11 -0
- pred_mnli-m.npz.npy +3 -0
- pred_mnli-mm.npz.npy +3 -0
- pred_ood.npz.npy +3 -0
- pred_stress-antonym.npz.npy +3 -0
- pred_stress-length_mismatch.npz.npy +3 -0
- pred_stress-negation.npz.npy +3 -0
- pred_stress-numerical_reasoning.npz.npy +3 -0
- pred_stress-spelling_error.npz.npy +3 -0
- pred_stress-word_overlap.npz.npy +3 -0
- pred_transfer-qnli.npz.npy +3 -0
- pred_transfer-snli.npz.npy +3 -0
- pred_transfer.npz.npy +3 -0
- pytorch_model.bin +3 -0
- rep_mnli-m.pt +3 -0
- rep_mnli-mm.pt +3 -0
- rep_ood.pt +3 -0
- rep_transfer.pt +3 -0
- special_tokens_map.json +7 -0
- stress-antonym_results.json +8 -0
- stress-length_mismatch_results.json +8 -0
- stress-negation_results.json +8 -0
- stress-numerical_reasoning_results.json +8 -0
- stress-spelling_error_results.json +8 -0
- stress-word_overlap_results.json +8 -0
- test_results.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- train_results.json +7 -0
- trainer_state.json +493 -0
- training_args.bin +3 -0
- transfer-qnli_results.json +8 -0
- transfer-snli_results.json +8 -0
- transfer_results.json +8 -0
- vocab.txt +0 -0
all_results.json
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{
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"ave/id": 0.41253954359889033,
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"ave/ood": 0.49596666666666667,
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"ave/stress": 45.304564189231485,
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"ave/transfer": 0.37421255842308476,
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"epoch": 3.0,
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"eval_accuracy": 0.37421255842308476,
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| 8 |
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"eval_combined_score": 0.37421255842308476,
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| 9 |
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"eval_constituent_accuracy": 0.5014,
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"eval_lexical_overlap_accuracy": 0.507,
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| 11 |
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"eval_loss": 1.078484058380127,
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"eval_runtime": 4.4655,
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"eval_samples_per_second": 2203.995,
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"eval_steps_per_second": 8.734,
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"eval_subsequence_accuracy": 0.4795,
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"gap/constituent": -0.08886045640110962,
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"gap/lexical_overlap": -0.09446045640110967,
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"gap/ood": -0.08342712306777633,
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"gap/stress": -4.050609829342449,
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"gap/subsequence": -0.06696045640110965,
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"gap/transfer": 0.03832698517580557,
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"mnli-m": 0.42221090168110037,
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"mnli-mm": 0.40286818551668024,
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"ood": 0.49596666666666667,
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"ood/constituent": 0.5014,
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"ood/lexical_overlap": 0.507,
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"ood/subsequence": 0.4795,
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"stress-antonym": 72.19730941704036,
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"stress-length_mismatch": 39.887926642893525,
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"stress-negation": 40.44955248169243,
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"stress-numerical_reasoning": 34.55766192733017,
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"stress-spelling_error": 43.329320345846554,
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"stress-word_overlap": 41.40561432058584,
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"train_loss": 1.0340555465413093,
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"train_runtime": 2034.3039,
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"train_samples_per_second": 579.12,
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"train_steps_per_second": 18.098,
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"transfer": 0.37421255842308476,
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"transfer-qnli": 51.47354933186894,
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"transfer-snli": 37.421255842308476
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}
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mnli-m_results.json
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{
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"eval_accuracy": 0.42221090168110037,
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"eval_combined_score": 0.42221090168110037,
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"eval_loss": 1.0493260622024536,
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"eval_runtime": 4.0337,
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"eval_samples_per_second": 2433.231,
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"eval_steps_per_second": 9.668
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}
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mnli-mm_results.json
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{
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"eval_accuracy": 0.40286818551668024,
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"eval_combined_score": 0.40286818551668024,
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"eval_loss": 1.0537621974945068,
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"eval_runtime": 4.5413,
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"eval_samples_per_second": 2165.028,
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"eval_steps_per_second": 8.588
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}
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ood_results.json
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{
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"eval_accuracy": 0.49596666666666667,
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"eval_combined_score": 0.49596666666666667,
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"eval_constituent_accuracy": 0.5014,
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"eval_lexical_overlap_accuracy": 0.507,
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"eval_loss": 1.3018536567687988,
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"eval_runtime": 9.5735,
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"eval_samples_per_second": 3133.636,
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"eval_steps_per_second": 12.326,
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"eval_subsequence_accuracy": 0.4795
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}
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pred_mnli-m.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 117908
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pred_mnli-mm.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 118112
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pred_ood.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 360128
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pred_stress-antonym.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 18860
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pred_stress-length_mismatch.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 117908
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pred_stress-negation.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 118112
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pred_stress-numerical_reasoning.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 91280
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pred_stress-spelling_error.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 109772
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pred_stress-word_overlap.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 118112
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pred_transfer-qnli.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 65684
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pred_transfer-snli.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 118232
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pred_transfer.npz.npy
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version https://git-lfs.github.com/spec/v1
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size 118232
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 35133741
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rep_mnli-m.pt
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version https://git-lfs.github.com/spec/v1
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size 10071842
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rep_mnli-mm.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c586a36765f4cc3ff6677eef9bcf178f903de05f7c55ae9adcf6308393036c1
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size 10089332
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rep_ood.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fc692323dafc7165978177844299178ee88894e603d22c87b08284f9851dbe5
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size 30782746
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rep_transfer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f97ee94898d406c33472a1b17a14e38056b0477e916406fa2b2b081ae9832ac5
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size 10099654
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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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| 5 |
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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stress-antonym_results.json
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{
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| 2 |
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"eval_accuracy": 72.19730941704036,
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| 3 |
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"eval_combined_score": 72.19730941704036,
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| 4 |
+
"eval_loss": 0.9308596253395081,
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| 5 |
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"eval_runtime": 2.4922,
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| 6 |
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"eval_samples_per_second": 626.362,
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| 7 |
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"eval_steps_per_second": 2.809
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| 8 |
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}
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stress-length_mismatch_results.json
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{
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"eval_accuracy": 39.887926642893525,
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| 3 |
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"eval_combined_score": 39.887926642893525,
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| 4 |
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"eval_loss": 1.0573346614837646,
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| 5 |
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"eval_runtime": 18.1548,
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| 6 |
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"eval_samples_per_second": 540.629,
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| 7 |
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"eval_steps_per_second": 2.148
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| 8 |
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}
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stress-negation_results.json
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{
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| 2 |
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"eval_accuracy": 40.44955248169243,
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| 3 |
+
"eval_combined_score": 40.44955248169243,
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| 4 |
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"eval_loss": 1.0657862424850464,
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| 5 |
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"eval_runtime": 17.2614,
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| 6 |
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"eval_samples_per_second": 569.595,
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| 7 |
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"eval_steps_per_second": 2.259
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| 8 |
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}
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stress-numerical_reasoning_results.json
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{
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"eval_accuracy": 34.55766192733017,
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| 3 |
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"eval_combined_score": 34.55766192733017,
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| 4 |
+
"eval_loss": 1.1387479305267334,
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| 5 |
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"eval_runtime": 13.7937,
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| 6 |
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"eval_samples_per_second": 550.687,
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| 7 |
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"eval_steps_per_second": 2.175
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}
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stress-spelling_error_results.json
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{
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"eval_accuracy": 43.329320345846554,
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| 3 |
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"eval_combined_score": 43.329320345846554,
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| 4 |
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"eval_loss": 1.049009919166565,
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| 5 |
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"eval_runtime": 18.4532,
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| 6 |
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"eval_samples_per_second": 495.143,
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| 7 |
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"eval_steps_per_second": 1.951
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}
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stress-word_overlap_results.json
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{
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"eval_accuracy": 41.40561432058584,
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| 3 |
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"eval_combined_score": 41.40561432058584,
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| 4 |
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"eval_loss": 1.0677262544631958,
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| 5 |
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"eval_runtime": 16.2255,
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| 6 |
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"eval_samples_per_second": 605.96,
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| 7 |
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"eval_steps_per_second": 2.404
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}
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test_results.json
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|
| 1 |
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{
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| 2 |
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"ave/id": 0.41253954359889033,
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| 3 |
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"ave/ood": 0.49596666666666667,
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| 4 |
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"ave/transfer": 0.37421255842308476,
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| 5 |
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| 6 |
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"gap/lexical_overlap": -0.09446045640110967,
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| 7 |
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"gap/ood": -0.08342712306777633,
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| 8 |
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"gap/subsequence": -0.06696045640110965,
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| 9 |
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"gap/transfer": 0.03832698517580557,
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| 10 |
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| 11 |
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"mnli-mm": 0.40286818551668024,
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| 12 |
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"ood": 0.49596666666666667,
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"ood/constituent": 0.5014,
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,16 @@
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| 1 |
+
{
|
| 2 |
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"cls_token": "[CLS]",
|
| 3 |
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"do_basic_tokenize": true,
|
| 4 |
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"do_lower_case": true,
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| 5 |
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"mask_token": "[MASK]",
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| 6 |
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| 7 |
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"name_or_path": "google/bert_uncased_L-2_H-128_A-2",
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| 8 |
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"never_split": null,
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| 9 |
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"pad_token": "[PAD]",
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| 10 |
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"sep_token": "[SEP]",
|
| 11 |
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|
| 12 |
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"strip_accents": null,
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| 13 |
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"tokenize_chinese_chars": true,
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| 14 |
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"tokenizer_class": "BertTokenizer",
|
| 15 |
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"unk_token": "[UNK]"
|
| 16 |
+
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|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
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| 1 |
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{
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"train_loss": 1.0340555465413093,
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| 6 |
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"train_steps_per_second": 18.098
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| 7 |
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trainer_state.json
ADDED
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@@ -0,0 +1,493 @@
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|
| 1 |
+
{
|
| 2 |
+
"eval_accuracy": 37.421255842308476,
|
| 3 |
+
"eval_combined_score": 37.421255842308476,
|
| 4 |
+
"eval_loss": 1.078484058380127,
|
| 5 |
+
"eval_runtime": 18.5894,
|
| 6 |
+
"eval_samples_per_second": 529.442,
|
| 7 |
+
"eval_steps_per_second": 2.098
|
| 8 |
+
}
|
transfer_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
|
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|
|
|
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|
|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"eval_accuracy": 0.37421255842308476,
|
| 3 |
+
"eval_combined_score": 0.37421255842308476,
|
| 4 |
+
"eval_loss": 1.078484058380127,
|
| 5 |
+
"eval_runtime": 4.4655,
|
| 6 |
+
"eval_samples_per_second": 2203.995,
|
| 7 |
+
"eval_steps_per_second": 8.734
|
| 8 |
+
}
|
vocab.txt
ADDED
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