jpn-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7324
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 |
|---|---|---|---|
| 3.9496 | 1.0 | 2351 | 3.4641 |
| 3.365 | 2.0 | 4702 | 3.1854 |
| 3.1541 | 3.0 | 7053 | 3.0350 |
| 3.0258 | 4.0 | 9404 | 2.9401 |
| 2.9369 | 5.0 | 11755 | 2.8713 |
| 2.868 | 6.0 | 14106 | 2.8226 |
| 2.8159 | 7.0 | 16457 | 2.7853 |
| 2.7741 | 8.0 | 18808 | 2.7567 |
| 2.7428 | 9.0 | 21159 | 2.7413 |
| 2.7204 | 10.0 | 23510 | 2.7324 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
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