metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: reward_model
results: []
reward_model
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0027
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1158 | 1.0 | 37 | 0.0163 |
| 0.0196 | 2.0 | 74 | 0.0118 |
| 0.013 | 3.0 | 111 | 0.0075 |
| 0.0075 | 4.0 | 148 | 0.0049 |
| 0.006 | 5.0 | 185 | 0.0037 |
| 0.0049 | 6.0 | 222 | 0.0035 |
| 0.0054 | 7.0 | 259 | 0.0035 |
| 0.0041 | 8.0 | 296 | 0.0023 |
| 0.0033 | 9.0 | 333 | 0.0023 |
| 0.004 | 10.0 | 370 | 0.0027 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0