srp-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2990
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 |
|---|---|---|---|
| 4.5607 | 1.0 | 2867 | 4.0909 |
| 3.9241 | 2.0 | 5734 | 3.7668 |
| 3.7049 | 3.0 | 8601 | 3.6122 |
| 3.5765 | 4.0 | 11468 | 3.5086 |
| 3.4856 | 5.0 | 14335 | 3.4368 |
| 3.4197 | 6.0 | 17202 | 3.3870 |
| 3.3702 | 7.0 | 20069 | 3.3495 |
| 3.3322 | 8.0 | 22936 | 3.3245 |
| 3.3033 | 9.0 | 25803 | 3.3064 |
| 3.2826 | 10.0 | 28670 | 3.2990 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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