ara-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6241
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: 0.0001
- train_batch_size: 16
- 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 |
|---|---|---|---|
| 5.1534 | 1.0 | 3336 | 4.6622 |
| 4.5018 | 2.0 | 6672 | 4.2596 |
| 4.2126 | 3.0 | 10008 | 4.0602 |
| 4.0484 | 4.0 | 13344 | 3.9446 |
| 3.9351 | 5.0 | 16680 | 3.8581 |
| 3.8454 | 6.0 | 20016 | 3.7903 |
| 3.7709 | 7.0 | 23352 | 3.7266 |
| 3.7082 | 8.0 | 26688 | 3.6781 |
| 3.6607 | 9.0 | 30024 | 3.6408 |
| 3.6235 | 10.0 | 33360 | 3.6241 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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