CEFR-larger-C-babylm-urop-shivan
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8672
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8984 | 1.0 | 11883 | 4.2954 |
| 4.1048 | 2.0 | 23766 | 3.9683 |
| 3.8784 | 3.0 | 35649 | 3.8672 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0.dev20250610+cu118
- Datasets 4.0.0
- Tokenizers 0.21.4
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