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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: RewardModel_TwoLabels_OnlyOnAnswer |
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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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# RewardModel_TwoLabels_OnlyOnAnswer |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7137 |
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- F1: 0.735 |
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- Roc Auc: 0.7350 |
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- Accuracy: 0.735 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 8 |
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- eval_batch_size: 8 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 258 | 0.6715 | 0.5441 | 0.5475 | 0.54 | |
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| 0.6118 | 2.0 | 516 | 0.6098 | 0.7 | 0.7 | 0.695 | |
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| 0.6118 | 3.0 | 774 | 0.7137 | 0.735 | 0.7350 | 0.735 | |
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| 0.295 | 4.0 | 1032 | 1.1055 | 0.685 | 0.685 | 0.685 | |
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| 0.295 | 5.0 | 1290 | 1.2907 | 0.69 | 0.69 | 0.69 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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