ace-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3775
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: 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 |
|---|---|---|---|
| 4.827 | 1.0 | 1282 | 4.1363 |
| 4.0453 | 2.0 | 2564 | 3.8261 |
| 3.7125 | 3.0 | 3846 | 3.6729 |
| 3.5361 | 4.0 | 5128 | 3.5691 |
| 3.3578 | 5.0 | 6410 | 3.4945 |
| 3.2356 | 6.0 | 7692 | 3.4469 |
| 3.0982 | 7.0 | 8974 | 3.4051 |
| 3.0001 | 8.0 | 10256 | 3.3922 |
| 2.9559 | 9.0 | 11538 | 3.3814 |
| 2.8719 | 10.0 | 12820 | 3.3775 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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