Upload folder using huggingface_hub
Browse files- all_results.json +29 -0
- ood_results.json +8 -0
- pred_ood.npz.npy +3 -0
- pred_qqp.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-spelling_error.npz.npy +3 -0
- pred_stress-word_overlap.npz.npy +3 -0
- pred_transfer.npz.npy +3 -0
- pytorch_model.bin +3 -0
- qqp_results.json +8 -0
- rep_ood.pt +3 -0
- rep_qqp.pt +3 -0
- rep_transfer.pt +3 -0
- special_tokens_map.json +7 -0
- stress-antonym_results.json +10 -0
- stress-length_mismatch_results.json +10 -0
- stress-negation_results.json +10 -0
- stress-spelling_error_results.json +10 -0
- stress-word_overlap_results.json +10 -0
- test_results.json +10 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- train_results.json +7 -0
- trainer_state.json +466 -0
- training_args.bin +3 -0
- transfer_results.json +8 -0
- vocab.txt +0 -0
all_results.json
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{
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"ave/id": 0.822529723920199,
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"ave/ood": 0.5996446273262882,
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"ave/stress": 73.00517780542164,
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"ave/transfer": 0.7847682119205298,
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"epoch": 3.0,
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| 7 |
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"eval_accuracy": 68.13725490196079,
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| 8 |
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"eval_combined_score": 0.7847682119205298,
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| 9 |
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"eval_f1": 0.7847682119205298,
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| 10 |
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"eval_loss": 0.6564677953720093,
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| 11 |
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"eval_runtime": 12.1978,
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| 12 |
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"eval_samples_per_second": 33.449,
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| 13 |
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"eval_steps_per_second": 0.164,
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| 14 |
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"gap/ood": 0.22288509659391076,
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"gap/stress": 9.24779458659826,
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"gap/transfer": 0.03776151199966915,
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"ood": 0.5996446273262882,
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"qqp": 0.822529723920199,
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"stress-antonym": 47.66190998902305,
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"stress-length_mismatch": 75.9537323083555,
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"stress-negation": 82.64870505644625,
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"stress-spelling_error": 76.82830014924899,
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"stress-word_overlap": 81.93324152403436,
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"train_loss": 0.4883681108792707,
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"train_runtime": 51068.5732,
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"train_samples_per_second": 21.374,
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"train_steps_per_second": 0.668,
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"transfer": 0.7847682119205298
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}
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ood_results.json
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{
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"eval_combined_score": 0.5996446273262882,
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"eval_f1": 0.5996446273262882,
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"eval_loss": 0.9656124711036682,
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"eval_runtime": 209.9586,
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"eval_samples_per_second": 38.103,
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"eval_steps_per_second": 0.152
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}
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pred_ood.npz.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:728f305a898401474115f3a50cc25e7d41a5b272e38026cd50513b0212581271
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size 64128
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pred_qqp.npz.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:656ddee7afc540bc9ff76d1176d7b9cbcc81077deb0b794d20b47124f31e9af0
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size 323568
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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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oid sha256:53c40e675366e40ba67fca6bcedac3a6d61a1c08d8f76f9427fe83f49192899e
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size 55640
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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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oid sha256:8da631aaebd90bbd9d1d5b46b3ca758490cc34daac506156737c688dac9a926f
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size 323568
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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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oid sha256:df7332721b238cfe72dc66820154fcaf8fb0108e8e0daac8854a0d32f8103bf3
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size 323568
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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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oid sha256:57bb1fa31f6603bbb9673e309806d09483d1760b28eef6ca0fa906fc11d53e9d
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size 323560
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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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oid sha256:3d2aaef1bb0440fafc2df9237bada9ef957493c78883472b89d24d44bde669cd
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size 323568
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pred_transfer.npz.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:998267be8316a44eff64b126f5af7a14a9cdc26d2c6710718ba94268becf0d79
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size 3392
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:871259e3e95be9c17b8be87966685dca1b12d85cb65c5e94cf0b94abfbe1342f
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size 1546544837
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qqp_results.json
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{
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"eval_combined_score": 0.822529723920199,
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"eval_f1": 0.822529723920199,
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"eval_loss": 0.3105922341346741,
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"eval_runtime": 1051.5551,
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"eval_samples_per_second": 38.448,
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"eval_steps_per_second": 0.15
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}
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rep_ood.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:55d855c89d48979128561a0ea3f78ece9d347232e5b7e8d9d4af6e1912d35281
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size 786641778
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rep_qqp.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:869d33d7645de642186a8fa83d70248073aab71848f2c98d2d9d9ad3c6496c00
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size 3975468602
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rep_transfer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:92cef47a98af9e39456df269883fc7b07813bdc89e36d19735bd571ad9c77c1a
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size 40122890
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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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stress-antonym_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 31.286928952298602,
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| 4 |
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"eval_combined_score": 39.47441947066083,
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| 5 |
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"eval_f1": 47.66190998902305,
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| 6 |
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"eval_loss": 1.8467786312103271,
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| 7 |
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"eval_runtime": 87.2979,
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| 8 |
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"eval_samples_per_second": 79.486,
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| 9 |
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"eval_steps_per_second": 0.321
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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": 83.4429878802869,
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| 4 |
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"eval_combined_score": 79.6983600943212,
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| 5 |
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"eval_f1": 75.9537323083555,
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| 6 |
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"eval_loss": 0.3636408746242523,
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| 7 |
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"eval_runtime": 506.4353,
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| 8 |
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"eval_samples_per_second": 79.833,
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| 9 |
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"eval_steps_per_second": 0.312
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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": 86.42839475636903,
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| 4 |
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"eval_combined_score": 84.53854990640764,
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| 5 |
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"eval_f1": 82.64870505644625,
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| 6 |
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"eval_loss": 0.32279783487319946,
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| 7 |
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"eval_runtime": 506.6385,
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| 8 |
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"eval_samples_per_second": 79.8,
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| 9 |
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"eval_steps_per_second": 0.312
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| 10 |
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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": 81.9510747235895,
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| 4 |
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"eval_combined_score": 79.38968743641925,
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| 5 |
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"eval_f1": 76.82830014924899,
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| 6 |
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"eval_loss": 0.39652082324028015,
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| 7 |
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"eval_runtime": 506.9646,
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| 8 |
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"eval_samples_per_second": 79.747,
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| 9 |
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"eval_steps_per_second": 0.312
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| 10 |
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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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| 3 |
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"eval_accuracy": 86.37150630719762,
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| 4 |
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"eval_combined_score": 84.15237391561598,
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| 5 |
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"eval_f1": 81.93324152403436,
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| 6 |
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"eval_loss": 0.3270297348499298,
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| 7 |
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"eval_runtime": 506.5782,
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| 8 |
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"eval_samples_per_second": 79.81,
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| 9 |
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"eval_steps_per_second": 0.312
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| 10 |
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}
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test_results.json
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{
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"ave/id": 0.822529723920199,
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| 3 |
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"ave/ood": 0.5996446273262882,
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| 4 |
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"ave/transfer": 0.7847682119205298,
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| 5 |
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"gap/ood": 0.22288509659391076,
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| 6 |
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"gap/transfer": 0.03776151199966915,
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| 7 |
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"ood": 0.5996446273262882,
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| 8 |
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"qqp": 0.822529723920199,
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| 9 |
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"transfer": 0.7847682119205298
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| 10 |
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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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"cls_token": "[CLS]",
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| 3 |
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"do_lower_case": true,
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| 4 |
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"mask_token": "[MASK]",
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| 5 |
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"model_max_length": 512,
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| 6 |
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"name_or_path": "bert-large-uncased",
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| 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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"special_tokens_map_file": null,
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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",
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| 13 |
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"unk_token": "[UNK]"
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| 14 |
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.4883681108792707,
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| 4 |
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"train_runtime": 51068.5732,
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| 5 |
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"train_samples_per_second": 21.374,
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| 6 |
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"train_steps_per_second": 0.668
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| 7 |
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}
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trainer_state.json
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