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.npz +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 +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": 0.6483877278886412,
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"ave/ood": 0.5,
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"ave/stress": 42.02114161047434,
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"ave/transfer": 0.5376955903271693,
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"epoch": 3.0,
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"eval_accuracy": 0.5376955903271693,
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"eval_combined_score": 0.5376955903271693,
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| 9 |
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"eval_constituent_accuracy": 0.5,
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"eval_lexical_overlap_accuracy": 0.5,
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| 11 |
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"eval_loss": 0.8987720608711243,
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"eval_runtime": 3.7795,
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"eval_samples_per_second": 2604.049,
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"eval_steps_per_second": 10.319,
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"eval_subsequence_accuracy": 0.5,
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| 16 |
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"gap/constituent": 0.14838772788864119,
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| 17 |
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"gap/lexical_overlap": 0.14838772788864119,
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"gap/ood": 0.14838772788864119,
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"gap/stress": 22.817631178389796,
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"gap/subsequence": 0.14838772788864119,
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"gap/transfer": 0.11069213756147189,
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"mnli-m": 0.6409577177789099,
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"mnli-mm": 0.6558177379983726,
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"ood": 0.5,
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"ood/constituent": 0.5,
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"ood/lexical_overlap": 0.5,
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"ood/subsequence": 0.5,
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"stress-antonym": 4.099935938500961,
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| 29 |
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"stress-length_mismatch": 60.69281711665817,
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"stress-negation": 43.480471928397066,
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"stress-numerical_reasoning": 28.001579778830965,
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"stress-spelling_error": 59.363029440735474,
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"stress-word_overlap": 56.489015459723355,
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"train_loss": 1.8895709598546233,
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"train_runtime": 3349.1082,
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"train_samples_per_second": 351.767,
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"train_steps_per_second": 10.993,
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"transfer": 0.5376955903271693,
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"transfer-qnli": 51.601684056379284,
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"transfer-snli": 53.73907742328795
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}
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mnli-m_results.json
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{
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"eval_accuracy": 0.6409577177789099,
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"eval_combined_score": 0.6409577177789099,
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"eval_loss": 0.8214038610458374,
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"eval_runtime": 5.0137,
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"eval_samples_per_second": 1957.649,
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"eval_steps_per_second": 7.779
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}
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mnli-mm_results.json
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{
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"eval_accuracy": 0.6558177379983726,
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"eval_combined_score": 0.6558177379983726,
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"eval_loss": 0.8016026020050049,
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"eval_runtime": 4.0263,
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"eval_samples_per_second": 2441.921,
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"eval_steps_per_second": 9.686
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}
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ood_results.json
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{
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"eval_accuracy": 0.5,
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"eval_combined_score": 0.5,
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"eval_constituent_accuracy": 0.5,
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"eval_lexical_overlap_accuracy": 0.5,
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"eval_loss": 1.5774461030960083,
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"eval_runtime": 11.5703,
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"eval_samples_per_second": 2592.844,
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"eval_steps_per_second": 10.199,
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"eval_subsequence_accuracy": 0.5
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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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| 3 |
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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 sha256:0fe6dfae39207ba7fb6fa599cf117e525c8b60afc2103bc30d058d6239c6df0d
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| 3 |
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size 10089332
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rep_ood.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:316b5af0250136e96ca504330af8600e580ed11c3496369e1705d368c878dc41
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size 7864386430
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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:b40b112b62ab65c501892c811d6044aaa202d8dd2f27a6fd482af460870d3871
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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:c9a5e59ad64a67a51ecade8e12d351d81559b772ab632f0703aff37bcd82c739
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| 3 |
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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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| 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": 4.099935938500961,
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| 4 |
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"eval_combined_score": 4.099935938500961,
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| 5 |
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"eval_loss": 2.143801689147949,
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| 6 |
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"eval_runtime": 4.7113,
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| 7 |
+
"eval_samples_per_second": 331.328,
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| 8 |
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"eval_steps_per_second": 1.486
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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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| 3 |
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"eval_accuracy": 60.69281711665817,
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| 4 |
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"eval_combined_score": 60.69281711665817,
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| 5 |
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"eval_loss": 0.8896390795707703,
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| 6 |
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"eval_runtime": 23.8024,
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| 7 |
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"eval_samples_per_second": 412.354,
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| 8 |
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"eval_steps_per_second": 1.638
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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": 43.480471928397066,
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| 4 |
+
"eval_combined_score": 43.480471928397066,
|
| 5 |
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"eval_loss": 1.130544662475586,
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| 6 |
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"eval_runtime": 25.2705,
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| 7 |
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"eval_samples_per_second": 389.07,
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| 8 |
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"eval_steps_per_second": 1.543
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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": 28.001579778830965,
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| 4 |
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"eval_combined_score": 28.001579778830965,
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| 5 |
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"eval_loss": 1.745166301727295,
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| 6 |
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"eval_runtime": 18.6153,
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| 7 |
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"eval_samples_per_second": 408.052,
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| 8 |
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"eval_steps_per_second": 1.612
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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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"eval_accuracy": 59.363029440735474,
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| 4 |
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"eval_combined_score": 59.363029440735474,
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| 5 |
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"eval_loss": 0.8884789347648621,
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| 6 |
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"eval_runtime": 22.44,
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| 7 |
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"eval_samples_per_second": 407.175,
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| 8 |
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"eval_steps_per_second": 1.604
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}
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stress-word_overlap_results.json
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| 1 |
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{
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| 2 |
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"epoch": 3.0,
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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"eval_samples_per_second": 417.356,
|
| 8 |
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"eval_steps_per_second": 1.656
|
| 9 |
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|
test_results.json
ADDED
|
@@ -0,0 +1,17 @@
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| 1 |
+
{
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| 2 |
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"ave/id": 0.6483877278886412,
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| 3 |
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"ave/ood": 0.5,
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| 4 |
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"ave/transfer": 0.5376955903271693,
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"gap/constituent": 0.14838772788864119,
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| 6 |
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"gap/lexical_overlap": 0.14838772788864119,
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| 7 |
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"gap/ood": 0.14838772788864119,
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| 8 |
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"gap/subsequence": 0.14838772788864119,
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| 9 |
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"gap/transfer": 0.11069213756147189,
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| 10 |
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"mnli-m": 0.6409577177789099,
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| 11 |
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| 12 |
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"ood": 0.5,
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| 14 |
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| 15 |
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| 16 |
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"transfer": 0.5376955903271693
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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 |
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{
|
| 2 |
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"cls_token": "[CLS]",
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| 3 |
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| 4 |
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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]",
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| 11 |
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| 12 |
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"strip_accents": null,
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| 13 |
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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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| 6 |
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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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"eval_accuracy": 51.601684056379284,
|
| 3 |
+
"eval_combined_score": 51.601684056379284,
|
| 4 |
+
"eval_loss": 1.589883804321289,
|
| 5 |
+
"eval_runtime": 9.7098,
|
| 6 |
+
"eval_samples_per_second": 562.628,
|
| 7 |
+
"eval_steps_per_second": 2.266
|
| 8 |
+
}
|
transfer-snli_results.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"eval_accuracy": 53.73907742328795,
|
| 3 |
+
"eval_combined_score": 53.73907742328795,
|
| 4 |
+
"eval_loss": 0.9472026228904724,
|
| 5 |
+
"eval_runtime": 18.3143,
|
| 6 |
+
"eval_samples_per_second": 537.393,
|
| 7 |
+
"eval_steps_per_second": 2.129
|
| 8 |
+
}
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transfer_results.json
ADDED
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@@ -0,0 +1,8 @@
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| 1 |
+
{
|
| 2 |
+
"eval_accuracy": 0.5376955903271693,
|
| 3 |
+
"eval_combined_score": 0.5376955903271693,
|
| 4 |
+
"eval_loss": 0.8987720608711243,
|
| 5 |
+
"eval_runtime": 3.7795,
|
| 6 |
+
"eval_samples_per_second": 2604.049,
|
| 7 |
+
"eval_steps_per_second": 10.319
|
| 8 |
+
}
|
vocab.txt
ADDED
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