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bert_baseline_prompt_adherence_task3_fold3

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  1. README.md +37 -37
  2. runs/Aug22_09-41-53_b098a78ba869/events.out.tfevents.1724319714.b098a78ba869.24.0 +3 -0
  3. runs/Aug22_09-46-37_b098a78ba869/events.out.tfevents.1724319997.b098a78ba869.24.1 +3 -0
  4. runs/Aug22_09-51-18_b098a78ba869/events.out.tfevents.1724320279.b098a78ba869.24.2 +3 -0
  5. runs/Aug22_09-55-57_b098a78ba869/events.out.tfevents.1724320558.b098a78ba869.24.3 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -4,20 +4,20 @@ 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_task3_fold3
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  results: []
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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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- # bert_baseline_prompt_adherence_task3_fold3
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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: 0.3708
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- - Qwk: 0.5742
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- - Mse: 0.3703
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  ## Model description
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@@ -48,38 +48,38 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.0308 | 2 | 1.7065 | 0.0 | 1.7073 |
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- | No log | 0.0615 | 4 | 1.2573 | 0.0 | 1.2575 |
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- | No log | 0.0923 | 6 | 0.8716 | 0.1625 | 0.8714 |
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- | No log | 0.1231 | 8 | 0.6802 | 0.0579 | 0.6797 |
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- | No log | 0.1538 | 10 | 0.6149 | 0.0341 | 0.6142 |
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- | No log | 0.1846 | 12 | 0.5744 | 0.0342 | 0.5737 |
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- | No log | 0.2154 | 14 | 0.5532 | 0.0525 | 0.5526 |
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- | No log | 0.2462 | 16 | 0.4973 | 0.0876 | 0.4967 |
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- | No log | 0.2769 | 18 | 0.4653 | 0.2539 | 0.4647 |
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- | No log | 0.3077 | 20 | 0.4372 | 0.3747 | 0.4367 |
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- | No log | 0.3385 | 22 | 0.4579 | 0.5433 | 0.4574 |
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- | No log | 0.3692 | 24 | 0.4613 | 0.5636 | 0.4609 |
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- | No log | 0.4 | 26 | 0.4110 | 0.5405 | 0.4106 |
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- | No log | 0.4308 | 28 | 0.4063 | 0.4977 | 0.4058 |
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- | No log | 0.4615 | 30 | 0.4001 | 0.5459 | 0.3997 |
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- | No log | 0.4923 | 32 | 0.4023 | 0.5731 | 0.4018 |
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- | No log | 0.5231 | 34 | 0.4175 | 0.5705 | 0.4171 |
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- | No log | 0.5538 | 36 | 0.4286 | 0.5707 | 0.4283 |
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- | No log | 0.5846 | 38 | 0.4423 | 0.5956 | 0.4419 |
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- | No log | 0.6154 | 40 | 0.4439 | 0.5922 | 0.4436 |
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- | No log | 0.6462 | 42 | 0.4711 | 0.5928 | 0.4708 |
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- | No log | 0.6769 | 44 | 0.4735 | 0.5871 | 0.4731 |
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- | No log | 0.7077 | 46 | 0.4319 | 0.5812 | 0.4315 |
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- | No log | 0.7385 | 48 | 0.3941 | 0.5840 | 0.3936 |
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- | No log | 0.7692 | 50 | 0.3833 | 0.5732 | 0.3828 |
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- | No log | 0.8 | 52 | 0.3777 | 0.5548 | 0.3772 |
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- | No log | 0.8308 | 54 | 0.3750 | 0.5475 | 0.3745 |
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- | No log | 0.8615 | 56 | 0.3737 | 0.5623 | 0.3732 |
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- | No log | 0.8923 | 58 | 0.3729 | 0.5723 | 0.3724 |
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- | No log | 0.9231 | 60 | 0.3711 | 0.5722 | 0.3706 |
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- | No log | 0.9538 | 62 | 0.3704 | 0.5723 | 0.3700 |
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- | No log | 0.9846 | 64 | 0.3708 | 0.5742 | 0.3703 |
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  ### Framework versions
 
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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_task3_fold2
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  results: []
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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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+ # bert_baseline_prompt_adherence_task3_fold2
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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: 0.3817
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+ - Qwk: 0.6470
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+ - Mse: 0.3818
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.0308 | 2 | 1.5377 | 0.0 | 1.5385 |
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+ | No log | 0.0615 | 4 | 0.9550 | 0.1039 | 0.9553 |
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+ | No log | 0.0923 | 6 | 0.7286 | 0.1294 | 0.7283 |
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+ | No log | 0.1231 | 8 | 0.6242 | 0.0252 | 0.6236 |
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+ | No log | 0.1538 | 10 | 0.6104 | 0.0252 | 0.6097 |
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+ | No log | 0.1846 | 12 | 0.5825 | 0.0638 | 0.5819 |
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+ | No log | 0.2154 | 14 | 0.5472 | 0.0709 | 0.5466 |
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+ | No log | 0.2462 | 16 | 0.4973 | 0.1150 | 0.4968 |
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+ | No log | 0.2769 | 18 | 0.4732 | 0.3908 | 0.4728 |
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+ | No log | 0.3077 | 20 | 0.4665 | 0.5935 | 0.4662 |
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+ | No log | 0.3385 | 22 | 0.4304 | 0.5976 | 0.4304 |
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+ | No log | 0.3692 | 24 | 0.4506 | 0.5795 | 0.4507 |
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+ | No log | 0.4 | 26 | 0.4830 | 0.5936 | 0.4830 |
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+ | No log | 0.4308 | 28 | 0.5284 | 0.4334 | 0.5284 |
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+ | No log | 0.4615 | 30 | 0.5470 | 0.4239 | 0.5469 |
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+ | No log | 0.4923 | 32 | 0.5238 | 0.4711 | 0.5238 |
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+ | No log | 0.5231 | 34 | 0.4764 | 0.5446 | 0.4766 |
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+ | No log | 0.5538 | 36 | 0.4393 | 0.4824 | 0.4396 |
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+ | No log | 0.5846 | 38 | 0.4326 | 0.4425 | 0.4329 |
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+ | No log | 0.6154 | 40 | 0.4139 | 0.4814 | 0.4142 |
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+ | No log | 0.6462 | 42 | 0.4079 | 0.5310 | 0.4081 |
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+ | No log | 0.6769 | 44 | 0.4149 | 0.6150 | 0.4150 |
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+ | No log | 0.7077 | 46 | 0.4218 | 0.6348 | 0.4218 |
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+ | No log | 0.7385 | 48 | 0.4259 | 0.6583 | 0.4259 |
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+ | No log | 0.7692 | 50 | 0.4150 | 0.6611 | 0.4151 |
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+ | No log | 0.8 | 52 | 0.3977 | 0.6481 | 0.3977 |
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+ | No log | 0.8308 | 54 | 0.3910 | 0.6396 | 0.3911 |
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+ | No log | 0.8615 | 56 | 0.3892 | 0.6415 | 0.3892 |
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+ | No log | 0.8923 | 58 | 0.3830 | 0.6405 | 0.3830 |
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+ | No log | 0.9231 | 60 | 0.3792 | 0.6359 | 0.3792 |
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+ | No log | 0.9538 | 62 | 0.3794 | 0.6359 | 0.3794 |
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+ | No log | 0.9846 | 64 | 0.3817 | 0.6470 | 0.3818 |
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  ### Framework versions
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