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cycy233 / reward
Model's Last Updated: August 02 2024
text-classification
Introduction of reward
Model Details of reward
reward
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4686
- Accuracy: 0.8885
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6961 | 0.3132 | 100 | 0.6884 | 0.6729 |
| 0.6738 | 0.6265 | 200 | 0.6837 | 0.6766 |
| 0.6559 | 0.9397 | 300 | 0.6562 | 0.7546 |
| 0.5404 | 1.2529 | 400 | 0.6177 | 0.7658 |
| 0.5308 | 1.5662 | 500 | 0.5541 | 0.8141 |
| 0.3825 | 1.8794 | 600 | 0.5167 | 0.8439 |
| 0.271 | 2.1926 | 700 | 0.4785 | 0.8773 |
| 0.2199 | 2.5059 | 800 | 0.4705 | 0.8848 |
| 0.258 | 2.8191 | 900 | 0.4686 | 0.8885 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
Runs of cycy233 reward on huggingface.co
15
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About reward huggingface.co Model
Url of reward
reward huggingface.co Url
Provider of reward huggingface.co
Other API from cycy233
Total runs:
11
Run Growth:
0
Growth Rate:
0.00%
Total runs:
7
Run Growth:
0
Growth Rate:
0.00%