license: mit | |
base_model: roberta-base | |
tags: | |
- generated_from_trainer | |
metrics: | |
- f1 | |
- accuracy | |
model-index: | |
- name: RewardModel_RobertaBase | |
results: [] | |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
should probably proofread and complete it, then remove this comment. --> | |
# RewardModel_RobertaBase | |
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.4742 | |
- F1: 0.7921 | |
- Roc Auc: 0.7917 | |
- Accuracy: 0.7897 | |
## Model description | |
More information needed | |
## Intended uses & limitations | |
More information needed | |
## Training and evaluation data | |
More information needed | |
## Training procedure | |
### Training hyperparameters | |
The following hyperparameters were used during training: | |
- learning_rate: 2e-05 | |
- train_batch_size: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| | |
| No log | 1.0 | 93 | 0.6779 | 0.6257 | 0.625 | 0.6230 | | |
| 0.6429 | 2.0 | 186 | 0.4775 | 0.7833 | 0.7837 | 0.7817 | | |
| 0.5357 | 3.0 | 279 | 0.4742 | 0.7921 | 0.7917 | 0.7897 | | |
### Framework versions | |
- Transformers 4.41.2 | |
- Pytorch 2.3.0+cu121 | |
- Datasets 2.20.0 | |
- Tokenizers 0.19.1 | |