rerun-09-19-2024-experiment-distill-tree-babylm2024-360-0
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7969
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: 0.00025
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2646 | 1.0 | 2065 | 5.7078 |
| 3.1369 | 2.0 | 4130 | 3.4836 |
| 2.5043 | 3.0 | 6195 | 2.8597 |
| 2.2114 | 4.0 | 8260 | 2.4983 |
| 1.8935 | 5.0 | 10325 | 2.2635 |
| 1.7655 | 6.0 | 12390 | 2.0539 |
| 1.591 | 7.0 | 14455 | 1.9009 |
| 1.518 | 8.0 | 16520 | 1.8300 |
| 1.4563 | 9.0 | 18585 | 1.8031 |
| 1.4882 | 10.0 | 20650 | 1.7969 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1
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