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bert_baseline_prompt_adherence_task4_fold4

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  1. README.md +225 -0
  2. config.json +33 -0
  3. model.safetensors +3 -0
  4. runs/Aug22_10-22-58_0095ffe889f2/events.out.tfevents.1724322179.0095ffe889f2.25.0 +3 -0
  5. runs/Aug22_10-45-22_0095ffe889f2/events.out.tfevents.1724323523.0095ffe889f2.25.1 +3 -0
  6. runs/Aug22_11-07-47_0095ffe889f2/events.out.tfevents.1724324868.0095ffe889f2.25.2 +3 -0
  7. runs/Aug22_11-30-11_0095ffe889f2/events.out.tfevents.1724326212.0095ffe889f2.25.3 +3 -0
  8. runs/Aug22_11-52-37_0095ffe889f2/events.out.tfevents.1724327557.0095ffe889f2.25.4 +3 -0
  9. runs/Aug22_12-15-04_0095ffe889f2/events.out.tfevents.1724328905.0095ffe889f2.25.5 +3 -0
  10. runs/Aug22_12-38-55_0095ffe889f2/events.out.tfevents.1724330336.0095ffe889f2.25.6 +3 -0
  11. runs/Aug22_13-02-35_0095ffe889f2/events.out.tfevents.1724331756.0095ffe889f2.25.7 +3 -0
  12. runs/Aug22_13-26-05_0095ffe889f2/events.out.tfevents.1724333166.0095ffe889f2.25.8 +3 -0
  13. runs/Aug22_13-49-43_0095ffe889f2/events.out.tfevents.1724334584.0095ffe889f2.25.9 +3 -0
  14. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert_baseline_prompt_adherence_task4_fold3
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_baseline_prompt_adherence_task4_fold3
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2741
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+ - Qwk: 0.7073
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+ - Mse: 0.2741
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0299 | 2 | 1.2031 | 0.0 | 1.2031 |
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+ | No log | 0.0597 | 4 | 0.9206 | 0.0 | 0.9206 |
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+ | No log | 0.0896 | 6 | 0.8639 | 0.0254 | 0.8639 |
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+ | No log | 0.1194 | 8 | 0.7742 | 0.3177 | 0.7742 |
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+ | No log | 0.1493 | 10 | 0.8253 | 0.2693 | 0.8253 |
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+ | No log | 0.1791 | 12 | 0.7793 | 0.2801 | 0.7793 |
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+ | No log | 0.2090 | 14 | 0.7019 | 0.2991 | 0.7019 |
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+ | No log | 0.2388 | 16 | 0.6608 | 0.2991 | 0.6608 |
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+ | No log | 0.2687 | 18 | 0.5901 | 0.3285 | 0.5901 |
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+ | No log | 0.2985 | 20 | 0.5341 | 0.3815 | 0.5341 |
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+ | No log | 0.3284 | 22 | 0.4983 | 0.4088 | 0.4983 |
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+ | No log | 0.3582 | 24 | 0.4808 | 0.4782 | 0.4808 |
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+ | No log | 0.3881 | 26 | 0.4517 | 0.4732 | 0.4517 |
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+ | No log | 0.4179 | 28 | 0.4404 | 0.5686 | 0.4404 |
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+ | No log | 0.4478 | 30 | 0.4295 | 0.6295 | 0.4295 |
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+ | No log | 0.4776 | 32 | 0.4364 | 0.6529 | 0.4364 |
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+ | No log | 0.5075 | 34 | 0.4499 | 0.6802 | 0.4499 |
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+ | No log | 0.5373 | 36 | 0.3718 | 0.6385 | 0.3718 |
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+ | No log | 0.5672 | 38 | 0.4172 | 0.4594 | 0.4172 |
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+ | No log | 0.5970 | 40 | 0.3837 | 0.5126 | 0.3837 |
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+ | No log | 0.6269 | 42 | 0.3543 | 0.6643 | 0.3543 |
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+ | No log | 0.6567 | 44 | 0.3605 | 0.6731 | 0.3605 |
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+ | No log | 0.6866 | 46 | 0.3918 | 0.6886 | 0.3918 |
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+ | No log | 0.7164 | 48 | 0.3816 | 0.6867 | 0.3816 |
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+ | No log | 0.7463 | 50 | 0.3753 | 0.6584 | 0.3753 |
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+ | No log | 0.7761 | 52 | 0.4230 | 0.6181 | 0.4230 |
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+ | No log | 0.8060 | 54 | 0.4324 | 0.6341 | 0.4324 |
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+ | No log | 0.8358 | 56 | 0.4222 | 0.6791 | 0.4222 |
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+ | No log | 0.8657 | 58 | 0.4054 | 0.7134 | 0.4054 |
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+ | No log | 0.8955 | 60 | 0.4027 | 0.7177 | 0.4027 |
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+ | No log | 0.9254 | 62 | 0.3686 | 0.6488 | 0.3686 |
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+ | No log | 0.9552 | 64 | 0.3483 | 0.5570 | 0.3483 |
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+ | No log | 0.9851 | 66 | 0.3582 | 0.4904 | 0.3582 |
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+ | No log | 1.0149 | 68 | 0.3427 | 0.6353 | 0.3427 |
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+ | No log | 1.0448 | 70 | 0.4857 | 0.7410 | 0.4857 |
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+ | No log | 1.0746 | 72 | 0.6516 | 0.7230 | 0.6516 |
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+ | No log | 1.1045 | 74 | 0.5821 | 0.7231 | 0.5821 |
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+ | No log | 1.1343 | 76 | 0.3938 | 0.7245 | 0.3938 |
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+ | No log | 1.1642 | 78 | 0.3350 | 0.6746 | 0.3350 |
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+ | No log | 1.1940 | 80 | 0.3402 | 0.5542 | 0.3402 |
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+ | No log | 1.2239 | 82 | 0.3679 | 0.5366 | 0.3679 |
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+ | No log | 1.2537 | 84 | 0.3318 | 0.6462 | 0.3318 |
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+ | No log | 1.2836 | 86 | 0.3880 | 0.7609 | 0.3880 |
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+ | No log | 1.3134 | 88 | 0.6329 | 0.7224 | 0.6329 |
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+ | No log | 1.3433 | 90 | 0.7417 | 0.6993 | 0.7417 |
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+ | No log | 1.3731 | 92 | 0.6404 | 0.7211 | 0.6404 |
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+ | No log | 1.4030 | 94 | 0.4245 | 0.7256 | 0.4245 |
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+ | No log | 1.4328 | 96 | 0.3352 | 0.5370 | 0.3352 |
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+ | No log | 1.4627 | 98 | 0.5122 | 0.3682 | 0.5122 |
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+ | No log | 1.4925 | 100 | 0.5849 | 0.3368 | 0.5849 |
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+ | No log | 1.5224 | 102 | 0.4828 | 0.3961 | 0.4828 |
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+ | No log | 1.5522 | 104 | 0.3390 | 0.5043 | 0.3390 |
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+ | No log | 1.5821 | 106 | 0.3282 | 0.7075 | 0.3282 |
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+ | No log | 1.6119 | 108 | 0.4235 | 0.7429 | 0.4235 |
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+ | No log | 1.6418 | 110 | 0.4422 | 0.7365 | 0.4422 |
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+ | No log | 1.6716 | 112 | 0.3892 | 0.7361 | 0.3892 |
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+ | No log | 1.7015 | 114 | 0.3125 | 0.6892 | 0.3125 |
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+ | No log | 1.7313 | 116 | 0.3174 | 0.5281 | 0.3174 |
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+ | No log | 1.7612 | 118 | 0.3375 | 0.4961 | 0.3375 |
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+ | No log | 1.7910 | 120 | 0.3289 | 0.5125 | 0.3289 |
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+ | No log | 1.8209 | 122 | 0.3065 | 0.5872 | 0.3065 |
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+ | No log | 1.8507 | 124 | 0.2936 | 0.7055 | 0.2936 |
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+ | No log | 1.8806 | 126 | 0.3178 | 0.7583 | 0.3178 |
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+ | No log | 1.9104 | 128 | 0.3420 | 0.7690 | 0.3420 |
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+ | No log | 1.9403 | 130 | 0.3836 | 0.7739 | 0.3836 |
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+ | No log | 1.9701 | 132 | 0.3851 | 0.7774 | 0.3851 |
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+ | No log | 2.0 | 134 | 0.3280 | 0.7658 | 0.3280 |
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+ | No log | 2.0299 | 136 | 0.2970 | 0.7388 | 0.2970 |
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+ | No log | 2.0597 | 138 | 0.2961 | 0.7338 | 0.2961 |
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+ | No log | 2.0896 | 140 | 0.3188 | 0.7638 | 0.3188 |
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+ | No log | 2.1194 | 142 | 0.3523 | 0.7855 | 0.3523 |
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+ | No log | 2.1493 | 144 | 0.3862 | 0.7853 | 0.3862 |
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+ | No log | 2.1791 | 146 | 0.3902 | 0.7819 | 0.3902 |
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+ | No log | 2.2090 | 148 | 0.3224 | 0.7756 | 0.3224 |
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+ | No log | 2.2388 | 150 | 0.2916 | 0.6818 | 0.2916 |
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+ | No log | 2.2687 | 152 | 0.3224 | 0.6132 | 0.3224 |
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+ | No log | 2.2985 | 154 | 0.3078 | 0.6446 | 0.3078 |
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+ | No log | 2.3284 | 156 | 0.3016 | 0.6611 | 0.3016 |
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+ | No log | 2.3582 | 158 | 0.2942 | 0.7052 | 0.2942 |
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+ | No log | 2.3881 | 160 | 0.3108 | 0.7670 | 0.3108 |
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+ | No log | 2.4179 | 162 | 0.3312 | 0.7764 | 0.3312 |
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+ | No log | 2.4478 | 164 | 0.3029 | 0.7620 | 0.3029 |
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+ | No log | 2.4776 | 166 | 0.2791 | 0.7015 | 0.2791 |
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+ | No log | 2.5075 | 168 | 0.2798 | 0.7218 | 0.2798 |
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+ | No log | 2.5373 | 170 | 0.2780 | 0.7326 | 0.2780 |
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+ | No log | 2.5672 | 172 | 0.2898 | 0.7422 | 0.2898 |
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+ | No log | 2.5970 | 174 | 0.2958 | 0.7425 | 0.2958 |
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+ | No log | 2.6269 | 176 | 0.2827 | 0.7237 | 0.2827 |
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+ | No log | 2.6567 | 178 | 0.2753 | 0.6812 | 0.2753 |
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+ | No log | 2.6866 | 180 | 0.2769 | 0.7066 | 0.2769 |
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+ | No log | 2.7164 | 182 | 0.2935 | 0.7349 | 0.2935 |
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+ | No log | 2.7463 | 184 | 0.3093 | 0.7481 | 0.3093 |
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+ | No log | 2.7761 | 186 | 0.3020 | 0.7418 | 0.3020 |
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+ | No log | 2.8060 | 188 | 0.2979 | 0.7406 | 0.2979 |
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+ | No log | 2.8358 | 190 | 0.2752 | 0.7156 | 0.2752 |
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+ | No log | 2.8657 | 192 | 0.2710 | 0.6973 | 0.2710 |
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+ | No log | 2.8955 | 194 | 0.2725 | 0.7161 | 0.2725 |
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+ | No log | 2.9254 | 196 | 0.2823 | 0.7384 | 0.2823 |
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+ | No log | 2.9552 | 198 | 0.2860 | 0.7468 | 0.2860 |
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+ | No log | 2.9851 | 200 | 0.3068 | 0.7552 | 0.3068 |
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+ | No log | 3.0149 | 202 | 0.3492 | 0.7716 | 0.3492 |
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+ | No log | 3.0448 | 204 | 0.3383 | 0.7640 | 0.3383 |
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+ | No log | 3.0746 | 206 | 0.2985 | 0.7522 | 0.2985 |
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+ | No log | 3.1045 | 208 | 0.2777 | 0.7105 | 0.2777 |
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+ | No log | 3.1343 | 210 | 0.2774 | 0.6878 | 0.2774 |
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+ | No log | 3.1642 | 212 | 0.2715 | 0.7099 | 0.2715 |
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+ | No log | 3.1940 | 214 | 0.2841 | 0.7364 | 0.2841 |
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+ | No log | 3.2239 | 216 | 0.2828 | 0.7219 | 0.2828 |
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+ | No log | 3.2537 | 218 | 0.2719 | 0.6934 | 0.2719 |
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+ | No log | 3.2836 | 220 | 0.2740 | 0.6814 | 0.2740 |
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+ | No log | 3.3134 | 222 | 0.2749 | 0.6836 | 0.2749 |
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+ | No log | 3.3433 | 224 | 0.2768 | 0.6825 | 0.2768 |
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+ | No log | 3.3731 | 226 | 0.2767 | 0.6857 | 0.2767 |
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+ | No log | 3.4030 | 228 | 0.2844 | 0.7201 | 0.2844 |
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+ | No log | 3.4328 | 230 | 0.3099 | 0.7427 | 0.3099 |
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+ | No log | 3.4627 | 232 | 0.3146 | 0.7613 | 0.3146 |
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+ | No log | 3.4925 | 234 | 0.3010 | 0.7391 | 0.3010 |
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+ | No log | 3.5224 | 236 | 0.2878 | 0.7298 | 0.2878 |
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+ | No log | 3.5522 | 238 | 0.2867 | 0.7230 | 0.2867 |
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+ | No log | 3.5821 | 240 | 0.2970 | 0.7359 | 0.2970 |
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+ | No log | 3.6119 | 242 | 0.3167 | 0.7657 | 0.3167 |
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+ | No log | 3.6418 | 244 | 0.3206 | 0.7770 | 0.3206 |
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+ | No log | 3.6716 | 246 | 0.3066 | 0.7520 | 0.3066 |
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+ | No log | 3.7015 | 248 | 0.2933 | 0.7396 | 0.2933 |
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+ | No log | 3.7313 | 250 | 0.2790 | 0.7255 | 0.2790 |
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+ | No log | 3.7612 | 252 | 0.2777 | 0.7312 | 0.2777 |
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+ | No log | 3.7910 | 254 | 0.2862 | 0.7332 | 0.2862 |
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+ | No log | 3.8209 | 256 | 0.2855 | 0.7376 | 0.2855 |
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+ | No log | 3.8507 | 258 | 0.2761 | 0.7289 | 0.2761 |
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+ | No log | 3.8806 | 260 | 0.2718 | 0.7235 | 0.2718 |
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+ | No log | 3.9104 | 262 | 0.2693 | 0.7214 | 0.2693 |
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+ | No log | 3.9403 | 264 | 0.2663 | 0.7185 | 0.2663 |
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+ | No log | 3.9701 | 266 | 0.2659 | 0.7006 | 0.2659 |
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+ | No log | 4.0 | 268 | 0.2661 | 0.7074 | 0.2661 |
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+ | No log | 4.0299 | 270 | 0.2735 | 0.7207 | 0.2735 |
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+ | No log | 4.0597 | 272 | 0.2997 | 0.7352 | 0.2997 |
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+ | No log | 4.0896 | 274 | 0.3251 | 0.7585 | 0.3251 |
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+ | No log | 4.1194 | 276 | 0.3222 | 0.7607 | 0.3222 |
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+ | No log | 4.1493 | 278 | 0.2992 | 0.7428 | 0.2992 |
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+ | No log | 4.1791 | 280 | 0.2864 | 0.7291 | 0.2864 |
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+ | No log | 4.2090 | 282 | 0.2753 | 0.7180 | 0.2753 |
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+ | No log | 4.2388 | 284 | 0.2716 | 0.7094 | 0.2716 |
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+ | No log | 4.2687 | 286 | 0.2722 | 0.6891 | 0.2722 |
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+ | No log | 4.2985 | 288 | 0.2722 | 0.6969 | 0.2722 |
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+ | No log | 4.3284 | 290 | 0.2750 | 0.7167 | 0.2750 |
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+ | No log | 4.3582 | 292 | 0.2806 | 0.7243 | 0.2806 |
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+ | No log | 4.3881 | 294 | 0.2819 | 0.7264 | 0.2819 |
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+ | No log | 4.4179 | 296 | 0.2801 | 0.7218 | 0.2801 |
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+ | No log | 4.4478 | 298 | 0.2777 | 0.7210 | 0.2777 |
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+ | No log | 4.4776 | 300 | 0.2793 | 0.7298 | 0.2793 |
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+ | No log | 4.5075 | 302 | 0.2828 | 0.7306 | 0.2828 |
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+ | No log | 4.5373 | 304 | 0.2855 | 0.7340 | 0.2855 |
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+ | No log | 4.5672 | 306 | 0.2860 | 0.7361 | 0.2860 |
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+ | No log | 4.5970 | 308 | 0.2820 | 0.7307 | 0.2820 |
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+ | No log | 4.6269 | 310 | 0.2804 | 0.7307 | 0.2804 |
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+ | No log | 4.6567 | 312 | 0.2798 | 0.7261 | 0.2798 |
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+ | No log | 4.6866 | 314 | 0.2797 | 0.7240 | 0.2797 |
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+ | No log | 4.7164 | 316 | 0.2810 | 0.7282 | 0.2810 |
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+ | No log | 4.7463 | 318 | 0.2812 | 0.7282 | 0.2812 |
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+ | No log | 4.7761 | 320 | 0.2812 | 0.7282 | 0.2812 |
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+ | No log | 4.8060 | 322 | 0.2790 | 0.7197 | 0.2790 |
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+ | No log | 4.8358 | 324 | 0.2772 | 0.7175 | 0.2772 |
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+ | No log | 4.8657 | 326 | 0.2761 | 0.7175 | 0.2761 |
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+ | No log | 4.8955 | 328 | 0.2748 | 0.7106 | 0.2748 |
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+ | No log | 4.9254 | 330 | 0.2743 | 0.7073 | 0.2743 |
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+ | No log | 4.9552 | 332 | 0.2742 | 0.7073 | 0.2742 |
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+ | No log | 4.9851 | 334 | 0.2741 | 0.7073 | 0.2741 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_name_or_path": "google-bert/bert-base-cased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "regression",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.3",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
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