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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. runs/Aug22_14-13-13_0095ffe889f2/events.out.tfevents.1724335995.0095ffe889f2.25.10 +3 -0
  15. 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_fold4
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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_fold4
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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: 0.3476
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+ - Qwk: 0.7157
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+ - Mse: 0.3476
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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 | 1.1588 | 0.0 | 1.1588 |
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+ | No log | 0.0597 | 4 | 0.8767 | 0.0 | 0.8767 |
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+ | No log | 0.0896 | 6 | 0.7414 | 0.2538 | 0.7414 |
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+ | No log | 0.1194 | 8 | 0.7026 | 0.3935 | 0.7026 |
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+ | No log | 0.1493 | 10 | 0.6746 | 0.3562 | 0.6746 |
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+ | No log | 0.1791 | 12 | 0.6514 | 0.3180 | 0.6514 |
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+ | No log | 0.2090 | 14 | 0.6256 | 0.3383 | 0.6256 |
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+ | No log | 0.2388 | 16 | 0.5935 | 0.3605 | 0.5935 |
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+ | No log | 0.2687 | 18 | 0.5678 | 0.3687 | 0.5678 |
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+ | No log | 0.2985 | 20 | 0.5458 | 0.4041 | 0.5458 |
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+ | No log | 0.3284 | 22 | 0.5102 | 0.3909 | 0.5102 |
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+ | No log | 0.3582 | 24 | 0.5212 | 0.3760 | 0.5212 |
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+ | No log | 0.3881 | 26 | 0.4986 | 0.3984 | 0.4986 |
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+ | No log | 0.4179 | 28 | 0.4564 | 0.3964 | 0.4564 |
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+ | No log | 0.4478 | 30 | 0.4805 | 0.3620 | 0.4805 |
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+ | No log | 0.4776 | 32 | 0.5001 | 0.3296 | 0.5001 |
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+ | No log | 0.5075 | 34 | 0.4408 | 0.4153 | 0.4408 |
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+ | No log | 0.5373 | 36 | 0.4298 | 0.4730 | 0.4298 |
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+ | No log | 0.5672 | 38 | 0.4277 | 0.5450 | 0.4277 |
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+ | No log | 0.5970 | 40 | 0.4270 | 0.5072 | 0.4270 |
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+ | No log | 0.6269 | 42 | 0.4253 | 0.4982 | 0.4253 |
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+ | No log | 0.6567 | 44 | 0.4159 | 0.5405 | 0.4159 |
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+ | No log | 0.6866 | 46 | 0.4086 | 0.5737 | 0.4086 |
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+ | No log | 0.7164 | 48 | 0.4036 | 0.5422 | 0.4036 |
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+ | No log | 0.7463 | 50 | 0.3994 | 0.5436 | 0.3994 |
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+ | No log | 0.7761 | 52 | 0.3960 | 0.5891 | 0.3960 |
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+ | No log | 0.8060 | 54 | 0.4724 | 0.6990 | 0.4724 |
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+ | No log | 0.8358 | 56 | 0.6041 | 0.7165 | 0.6041 |
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+ | No log | 0.8657 | 58 | 0.7484 | 0.6732 | 0.7484 |
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+ | No log | 0.8955 | 60 | 0.6230 | 0.7096 | 0.6230 |
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+ | No log | 0.9254 | 62 | 0.4314 | 0.6097 | 0.4314 |
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+ | No log | 0.9552 | 64 | 0.3817 | 0.4898 | 0.3817 |
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+ | No log | 0.9851 | 66 | 0.4007 | 0.4380 | 0.4007 |
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+ | No log | 1.0149 | 68 | 0.3692 | 0.4730 | 0.3692 |
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+ | No log | 1.0448 | 70 | 0.3617 | 0.6006 | 0.3617 |
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+ | No log | 1.0746 | 72 | 0.3797 | 0.6409 | 0.3797 |
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+ | No log | 1.1045 | 74 | 0.3657 | 0.6124 | 0.3657 |
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+ | No log | 1.1343 | 76 | 0.3668 | 0.5849 | 0.3668 |
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+ | No log | 1.1642 | 78 | 0.3721 | 0.6166 | 0.3721 |
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+ | No log | 1.1940 | 80 | 0.3940 | 0.6391 | 0.3940 |
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+ | No log | 1.2239 | 82 | 0.4132 | 0.6485 | 0.4132 |
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+ | No log | 1.2537 | 84 | 0.3830 | 0.6259 | 0.3830 |
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+ | No log | 1.2836 | 86 | 0.3685 | 0.5396 | 0.3685 |
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+ | No log | 1.3134 | 88 | 0.3701 | 0.5209 | 0.3701 |
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+ | No log | 1.3433 | 90 | 0.3870 | 0.4861 | 0.3870 |
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+ | No log | 1.3731 | 92 | 0.3636 | 0.4971 | 0.3636 |
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+ | No log | 1.4030 | 94 | 0.3397 | 0.5908 | 0.3397 |
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+ | No log | 1.4328 | 96 | 0.3460 | 0.6268 | 0.3460 |
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+ | No log | 1.4627 | 98 | 0.3477 | 0.6372 | 0.3477 |
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+ | No log | 1.4925 | 100 | 0.3311 | 0.6057 | 0.3311 |
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+ | No log | 1.5224 | 102 | 0.3364 | 0.6391 | 0.3364 |
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+ | No log | 1.5522 | 104 | 0.3679 | 0.6766 | 0.3679 |
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+ | No log | 1.5821 | 106 | 0.3366 | 0.6360 | 0.3366 |
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+ | No log | 1.6119 | 108 | 0.3259 | 0.6022 | 0.3259 |
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+ | No log | 1.6418 | 110 | 0.3264 | 0.5540 | 0.3264 |
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+ | No log | 1.6716 | 112 | 0.3225 | 0.6017 | 0.3225 |
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+ | No log | 1.7015 | 114 | 0.3607 | 0.6784 | 0.3607 |
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+ | No log | 1.7313 | 116 | 0.3714 | 0.6997 | 0.3714 |
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+ | No log | 1.7612 | 118 | 0.3879 | 0.7174 | 0.3879 |
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+ | No log | 1.7910 | 120 | 0.3918 | 0.7240 | 0.3918 |
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+ | No log | 1.8209 | 122 | 0.3504 | 0.6756 | 0.3504 |
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+ | No log | 1.8507 | 124 | 0.3279 | 0.5898 | 0.3279 |
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+ | No log | 1.8806 | 126 | 0.3630 | 0.4773 | 0.3630 |
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+ | No log | 1.9104 | 128 | 0.3506 | 0.4846 | 0.3506 |
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+ | No log | 1.9403 | 130 | 0.3207 | 0.5862 | 0.3207 |
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+ | No log | 1.9701 | 132 | 0.3460 | 0.6590 | 0.3460 |
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+ | No log | 2.0 | 134 | 0.4251 | 0.7425 | 0.4251 |
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+ | No log | 2.0299 | 136 | 0.4846 | 0.7500 | 0.4846 |
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+ | No log | 2.0597 | 138 | 0.4460 | 0.7465 | 0.4460 |
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+ | No log | 2.0896 | 140 | 0.3581 | 0.7021 | 0.3581 |
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+ | No log | 2.1194 | 142 | 0.3155 | 0.6266 | 0.3155 |
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+ | No log | 2.1493 | 144 | 0.3210 | 0.5979 | 0.3210 |
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+ | No log | 2.1791 | 146 | 0.3223 | 0.6157 | 0.3223 |
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+ | No log | 2.2090 | 148 | 0.3245 | 0.6373 | 0.3245 |
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+ | No log | 2.2388 | 150 | 0.3294 | 0.6616 | 0.3294 |
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+ | No log | 2.2687 | 152 | 0.3221 | 0.6562 | 0.3221 |
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+ | No log | 2.2985 | 154 | 0.3220 | 0.6599 | 0.3220 |
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+ | No log | 2.3284 | 156 | 0.3226 | 0.6608 | 0.3226 |
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+ | No log | 2.3582 | 158 | 0.3204 | 0.6211 | 0.3204 |
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+ | No log | 2.3881 | 160 | 0.3173 | 0.6165 | 0.3173 |
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+ | No log | 2.4179 | 162 | 0.3106 | 0.6175 | 0.3106 |
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+ | No log | 2.4478 | 164 | 0.3034 | 0.6379 | 0.3034 |
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+ | No log | 2.4776 | 166 | 0.3096 | 0.6708 | 0.3096 |
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+ | No log | 2.5075 | 168 | 0.3477 | 0.7297 | 0.3477 |
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+ | No log | 2.5373 | 170 | 0.3540 | 0.7388 | 0.3540 |
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+ | No log | 2.5672 | 172 | 0.3500 | 0.7329 | 0.3500 |
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+ | No log | 2.5970 | 174 | 0.3318 | 0.7146 | 0.3318 |
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+ | No log | 2.6269 | 176 | 0.3029 | 0.6593 | 0.3029 |
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+ | No log | 2.6567 | 178 | 0.3003 | 0.6152 | 0.3003 |
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+ | No log | 2.6866 | 180 | 0.2979 | 0.6388 | 0.2979 |
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+ | No log | 2.7164 | 182 | 0.3064 | 0.6896 | 0.3064 |
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+ | No log | 2.7463 | 184 | 0.3009 | 0.6853 | 0.3009 |
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+ | No log | 2.7761 | 186 | 0.3026 | 0.6912 | 0.3026 |
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+ | No log | 2.8060 | 188 | 0.3075 | 0.6944 | 0.3075 |
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+ | No log | 2.8358 | 190 | 0.2952 | 0.6718 | 0.2952 |
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+ | No log | 2.8657 | 192 | 0.2949 | 0.6647 | 0.2949 |
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+ | No log | 2.8955 | 194 | 0.3048 | 0.6968 | 0.3048 |
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+ | No log | 2.9254 | 196 | 0.3162 | 0.7032 | 0.3162 |
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+ | No log | 2.9552 | 198 | 0.3124 | 0.7022 | 0.3124 |
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+ | No log | 2.9851 | 200 | 0.2969 | 0.6534 | 0.2969 |
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+ | No log | 3.0149 | 202 | 0.3007 | 0.6076 | 0.3007 |
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+ | No log | 3.0448 | 204 | 0.3018 | 0.6423 | 0.3018 |
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+ | No log | 3.0746 | 206 | 0.3224 | 0.6994 | 0.3224 |
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+ | No log | 3.1045 | 208 | 0.3478 | 0.7151 | 0.3478 |
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+ | No log | 3.1343 | 210 | 0.3360 | 0.7104 | 0.3360 |
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+ | No log | 3.1642 | 212 | 0.3160 | 0.6702 | 0.3160 |
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+ | No log | 3.1940 | 214 | 0.3166 | 0.6403 | 0.3166 |
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+ | No log | 3.2239 | 216 | 0.3182 | 0.6657 | 0.3182 |
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+ | No log | 3.2537 | 218 | 0.3290 | 0.6788 | 0.3290 |
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+ | No log | 3.2836 | 220 | 0.3312 | 0.6900 | 0.3312 |
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+ | No log | 3.3134 | 222 | 0.3369 | 0.7046 | 0.3369 |
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+ | No log | 3.3433 | 224 | 0.3400 | 0.7114 | 0.3400 |
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+ | No log | 3.3731 | 226 | 0.3190 | 0.7033 | 0.3190 |
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+ | No log | 3.4030 | 228 | 0.3029 | 0.6609 | 0.3029 |
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+ | No log | 3.4328 | 230 | 0.3026 | 0.6586 | 0.3026 |
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+ | No log | 3.4627 | 232 | 0.3054 | 0.6616 | 0.3054 |
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+ | No log | 3.4925 | 234 | 0.3131 | 0.6950 | 0.3131 |
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+ | No log | 3.5224 | 236 | 0.3265 | 0.7028 | 0.3265 |
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+ | No log | 3.5522 | 238 | 0.3265 | 0.6953 | 0.3265 |
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+ | No log | 3.5821 | 240 | 0.3077 | 0.6907 | 0.3077 |
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+ | No log | 3.6119 | 242 | 0.2987 | 0.6450 | 0.2987 |
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+ | No log | 3.6418 | 244 | 0.2990 | 0.6465 | 0.2990 |
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+ | No log | 3.6716 | 246 | 0.3033 | 0.6876 | 0.3033 |
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+ | No log | 3.7015 | 248 | 0.3093 | 0.6906 | 0.3093 |
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+ | No log | 3.7313 | 250 | 0.3171 | 0.6960 | 0.3171 |
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+ | No log | 3.7612 | 252 | 0.3283 | 0.7112 | 0.3283 |
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+ | No log | 3.7910 | 254 | 0.3575 | 0.7331 | 0.3575 |
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+ | No log | 3.8209 | 256 | 0.3670 | 0.7413 | 0.3670 |
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+ | No log | 3.8507 | 258 | 0.3570 | 0.7323 | 0.3570 |
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+ | No log | 3.8806 | 260 | 0.3232 | 0.6992 | 0.3232 |
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+ | No log | 3.9104 | 262 | 0.3004 | 0.6685 | 0.3004 |
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+ | No log | 3.9403 | 264 | 0.3038 | 0.6015 | 0.3038 |
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+ | No log | 3.9701 | 266 | 0.3094 | 0.5814 | 0.3094 |
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+ | No log | 4.0 | 268 | 0.3024 | 0.5967 | 0.3024 |
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+ | No log | 4.0299 | 270 | 0.2941 | 0.6332 | 0.2941 |
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+ | No log | 4.0597 | 272 | 0.2933 | 0.6493 | 0.2933 |
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+ | No log | 4.0896 | 274 | 0.3032 | 0.6913 | 0.3032 |
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+ | No log | 4.1194 | 276 | 0.3164 | 0.7051 | 0.3164 |
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+ | No log | 4.1493 | 278 | 0.3232 | 0.7005 | 0.3232 |
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+ | No log | 4.1791 | 280 | 0.3245 | 0.7079 | 0.3245 |
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+ | No log | 4.2090 | 282 | 0.3186 | 0.6997 | 0.3186 |
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+ | No log | 4.2388 | 284 | 0.3215 | 0.7003 | 0.3215 |
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+ | No log | 4.2687 | 286 | 0.3306 | 0.7106 | 0.3306 |
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+ | No log | 4.2985 | 288 | 0.3441 | 0.7217 | 0.3441 |
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+ | No log | 4.3284 | 290 | 0.3486 | 0.7234 | 0.3486 |
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+ | No log | 4.3582 | 292 | 0.3376 | 0.7139 | 0.3376 |
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+ | No log | 4.3881 | 294 | 0.3203 | 0.6960 | 0.3203 |
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+ | No log | 4.4179 | 296 | 0.3093 | 0.6796 | 0.3093 |
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+ | No log | 4.4478 | 298 | 0.3051 | 0.6659 | 0.3051 |
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+ | No log | 4.4776 | 300 | 0.3045 | 0.6514 | 0.3045 |
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+ | No log | 4.5075 | 302 | 0.3064 | 0.6497 | 0.3064 |
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+ | No log | 4.5373 | 304 | 0.3071 | 0.6474 | 0.3071 |
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+ | No log | 4.5672 | 306 | 0.3066 | 0.6539 | 0.3066 |
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+ | No log | 4.5970 | 308 | 0.3081 | 0.6546 | 0.3081 |
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+ | No log | 4.6269 | 310 | 0.3140 | 0.6855 | 0.3140 |
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+ | No log | 4.6567 | 312 | 0.3241 | 0.7028 | 0.3241 |
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+ | No log | 4.6866 | 314 | 0.3381 | 0.7070 | 0.3381 |
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+ | No log | 4.7164 | 316 | 0.3531 | 0.7234 | 0.3531 |
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+ | No log | 4.7463 | 318 | 0.3691 | 0.7275 | 0.3691 |
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+ | No log | 4.7761 | 320 | 0.3769 | 0.7308 | 0.3769 |
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+ | No log | 4.8060 | 322 | 0.3765 | 0.7286 | 0.3765 |
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+ | No log | 4.8358 | 324 | 0.3708 | 0.7299 | 0.3708 |
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+ | No log | 4.8657 | 326 | 0.3639 | 0.7252 | 0.3639 |
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+ | No log | 4.8955 | 328 | 0.3573 | 0.7268 | 0.3573 |
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+ | No log | 4.9254 | 330 | 0.3528 | 0.7201 | 0.3528 |
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+ | No log | 4.9552 | 332 | 0.3490 | 0.7169 | 0.3490 |
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+ | No log | 4.9851 | 334 | 0.3476 | 0.7157 | 0.3476 |
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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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