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 +9 -0
- stress-length_mismatch_results.json +9 -0
- stress-negation_results.json +9 -0
- stress-numerical_reasoning_results.json +9 -0
- stress-spelling_error_results.json +9 -0
- stress-word_overlap_results.json +9 -0
- test_results.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -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": 0.8307649976559848,
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"ave/ood": 0.7316666666666667,
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"ave/stress": 70.12055737749229,
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"ave/transfer": 0.7955700060963219,
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"epoch": 3.0,
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| 7 |
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"eval_accuracy": 0.7955700060963219,
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| 8 |
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"eval_combined_score": 0.7955700060963219,
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| 9 |
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"eval_constituent_accuracy": 0.7032,
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| 10 |
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"eval_lexical_overlap_accuracy": 0.7566,
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| 11 |
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"eval_loss": 0.5698015689849854,
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"eval_runtime": 243.8952,
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"eval_samples_per_second": 40.353,
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"eval_steps_per_second": 0.16,
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"eval_subsequence_accuracy": 0.7352,
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| 16 |
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"gap/constituent": 0.12756499765598472,
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| 17 |
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"gap/lexical_overlap": 0.07416499765598472,
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"gap/ood": 0.09909833098931808,
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"gap/stress": 12.95594238810618,
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"gap/subsequence": 0.0955649976559848,
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"gap/transfer": 0.03519499155966288,
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"mnli-m": 0.833112582781457,
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"mnli-mm": 0.8284174125305126,
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"ood": 0.7316666666666667,
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"ood/constituent": 0.7032,
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"ood/lexical_overlap": 0.7566,
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"ood/subsequence": 0.7352,
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"stress-antonym": 72.13324791800129,
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| 29 |
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"stress-length_mismatch": 81.23280692817116,
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"stress-negation": 63.883238405207486,
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"stress-numerical_reasoning": 59.79462875197472,
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"stress-spelling_error": 81.08788442596038,
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"stress-word_overlap": 62.59153783563873,
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"train_loss": 0.9035921859409642,
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"train_runtime": 54432.0817,
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"train_samples_per_second": 21.644,
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"train_steps_per_second": 0.676,
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"transfer": 0.7955700060963219,
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"transfer-qnli": 50.33864177192019,
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"transfer-snli": 81.92440560861614
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}
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mnli-m_results.json
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{
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"eval_accuracy": 0.833112582781457,
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"eval_combined_score": 0.833112582781457,
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"eval_loss": 0.4648875296115875,
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"eval_runtime": 243.9382,
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"eval_samples_per_second": 40.236,
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"eval_steps_per_second": 0.16
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}
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mnli-mm_results.json
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{
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"eval_accuracy": 0.8284174125305126,
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"eval_combined_score": 0.8284174125305126,
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"eval_loss": 0.466293603181839,
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"eval_runtime": 243.6578,
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"eval_samples_per_second": 40.352,
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"eval_steps_per_second": 0.16
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}
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ood_results.json
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{
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"eval_accuracy": 0.7316666666666667,
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"eval_combined_score": 0.7316666666666667,
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"eval_constituent_accuracy": 0.7032,
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"eval_lexical_overlap_accuracy": 0.7566,
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"eval_loss": 1.0719795227050781,
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"eval_runtime": 738.574,
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"eval_samples_per_second": 40.619,
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"eval_steps_per_second": 0.16,
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"eval_subsequence_accuracy": 0.7352
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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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rep_mnli-m.pt
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version https://git-lfs.github.com/spec/v1
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size 965112614
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rep_mnli-mm.pt
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 966784722
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rep_ood.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8376c09a18396a9138fbe6492eb66773ea702aa26798115660cba288f027a9fc
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size 2949894778
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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:dbde7af1bc1e4de42a92e87c27196a513e09b69ddc1ee9aa101a59caad2da2fb
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| 3 |
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size 967768702
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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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| 4 |
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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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"epoch": 3.0,
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| 3 |
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"eval_accuracy": 72.13324791800129,
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| 4 |
+
"eval_combined_score": 72.13324791800129,
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| 5 |
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"eval_loss": 0.8699958324432373,
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| 6 |
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"eval_runtime": 19.557,
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| 7 |
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"eval_samples_per_second": 79.818,
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| 8 |
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"eval_steps_per_second": 0.358
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| 9 |
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}
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stress-length_mismatch_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 81.23280692817116,
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| 4 |
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"eval_combined_score": 81.23280692817116,
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| 5 |
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"eval_loss": 0.5130394101142883,
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| 6 |
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"eval_runtime": 122.9898,
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| 7 |
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"eval_samples_per_second": 79.803,
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| 8 |
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"eval_steps_per_second": 0.317
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| 9 |
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}
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stress-negation_results.json
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{
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"epoch": 3.0,
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| 3 |
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"eval_accuracy": 63.883238405207486,
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| 4 |
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"eval_combined_score": 63.883238405207486,
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| 5 |
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"eval_loss": 0.7891832590103149,
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| 6 |
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"eval_runtime": 123.0413,
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| 7 |
+
"eval_samples_per_second": 79.908,
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| 8 |
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"eval_steps_per_second": 0.317
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| 9 |
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}
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stress-numerical_reasoning_results.json
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{
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"epoch": 3.0,
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| 3 |
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"eval_accuracy": 59.79462875197472,
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| 4 |
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"eval_combined_score": 59.79462875197472,
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| 5 |
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"eval_loss": 0.9163689017295837,
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| 6 |
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"eval_runtime": 95.0023,
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| 7 |
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"eval_samples_per_second": 79.956,
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| 8 |
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"eval_steps_per_second": 0.316
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}
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stress-spelling_error_results.json
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{
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"epoch": 3.0,
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| 3 |
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"eval_accuracy": 81.08788442596038,
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| 4 |
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"eval_combined_score": 81.08788442596038,
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| 5 |
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"eval_loss": 0.5173742771148682,
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| 6 |
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"eval_runtime": 114.117,
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| 7 |
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"eval_samples_per_second": 80.067,
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| 8 |
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"eval_steps_per_second": 0.315
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}
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stress-word_overlap_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 62.59153783563873,
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| 4 |
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"eval_combined_score": 62.59153783563873,
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| 5 |
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"eval_loss": 0.8422909379005432,
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| 6 |
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"eval_runtime": 123.2158,
|
| 7 |
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"eval_samples_per_second": 79.795,
|
| 8 |
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"eval_steps_per_second": 0.317
|
| 9 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,17 @@
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|
| 1 |
+
{
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| 2 |
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"ave/id": 0.8307649976559848,
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| 3 |
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"ave/ood": 0.7316666666666667,
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| 4 |
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"ave/transfer": 0.7955700060963219,
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| 5 |
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"gap/constituent": 0.12756499765598472,
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| 6 |
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"gap/lexical_overlap": 0.07416499765598472,
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| 7 |
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"gap/ood": 0.09909833098931808,
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| 8 |
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"gap/subsequence": 0.0955649976559848,
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| 9 |
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"gap/transfer": 0.03519499155966288,
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| 10 |
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"mnli-m": 0.833112582781457,
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| 11 |
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"mnli-mm": 0.8284174125305126,
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| 12 |
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"ood": 0.7316666666666667,
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| 14 |
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"ood/lexical_overlap": 0.7566,
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| 15 |
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"ood/subsequence": 0.7352,
|
| 16 |
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"transfer": 0.7955700060963219
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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 +1,14 @@
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| 1 |
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{
|
| 2 |
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"cls_token": "[CLS]",
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| 3 |
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"do_lower_case": true,
|
| 4 |
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"mask_token": "[MASK]",
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| 5 |
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"model_max_length": 512,
|
| 6 |
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"name_or_path": "bert-large-uncased",
|
| 7 |
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"pad_token": "[PAD]",
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| 8 |
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"sep_token": "[SEP]",
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| 9 |
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|
| 10 |
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"strip_accents": null,
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| 11 |
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"tokenize_chinese_chars": true,
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| 12 |
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"tokenizer_class": "BertTokenizer",
|
| 13 |
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"unk_token": "[UNK]"
|
| 14 |
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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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"epoch": 3.0,
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| 6 |
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"train_steps_per_second": 0.676
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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": 81.92440560861614,
|
| 3 |
+
"eval_combined_score": 81.92440560861614,
|
| 4 |
+
"eval_loss": 0.7006551027297974,
|
| 5 |
+
"eval_runtime": 112.1367,
|
| 6 |
+
"eval_samples_per_second": 87.768,
|
| 7 |
+
"eval_steps_per_second": 0.348
|
| 8 |
+
}
|
transfer_results.json
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
+
{
|
| 2 |
+
"eval_accuracy": 0.7955700060963219,
|
| 3 |
+
"eval_combined_score": 0.7955700060963219,
|
| 4 |
+
"eval_loss": 0.5698015689849854,
|
| 5 |
+
"eval_runtime": 243.8952,
|
| 6 |
+
"eval_samples_per_second": 40.353,
|
| 7 |
+
"eval_steps_per_second": 0.16
|
| 8 |
+
}
|
vocab.txt
ADDED
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