metadata
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: reward_model
results: []
reward_model
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7183
- Accuracy: 0.45
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.01 | 50 | 0.6941 | 0.49 |
| No log | 0.02 | 100 | 0.7068 | 0.44 |
| No log | 0.03 | 150 | 0.6991 | 0.47 |
| No log | 0.04 | 200 | 0.6954 | 0.5 |
| No log | 0.05 | 250 | 0.6957 | 0.55 |
| No log | 0.06 | 300 | 0.6958 | 0.5 |
| No log | 0.07 | 350 | 0.7203 | 0.45 |
| No log | 0.08 | 400 | 0.7129 | 0.47 |
| No log | 0.09 | 450 | 0.7197 | 0.45 |
| 0.6877 | 0.1 | 500 | 0.7183 | 0.45 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1