isl-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7996
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 |
|---|---|---|---|
| 3.5399 | 1.0 | 507 | 3.3113 |
| 2.9862 | 2.0 | 1014 | 3.1159 |
| 2.8413 | 3.0 | 1521 | 3.0094 |
| 2.7433 | 4.0 | 2028 | 2.9394 |
| 2.6653 | 5.0 | 2535 | 2.8897 |
| 2.597 | 6.0 | 3042 | 2.8584 |
| 2.5448 | 7.0 | 3549 | 2.8280 |
| 2.5003 | 8.0 | 4056 | 2.8123 |
| 2.4704 | 9.0 | 4563 | 2.8027 |
| 2.4432 | 10.0 | 5070 | 2.7996 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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