october-stage-1_a
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0202
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1337
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.975) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.03
- training_steps: 762
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0136 | 0.5249 | 400 | 4.0979 |
| 3.9836 | 1.0 | 762 | 3.9594 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.11.0+cu130
- Datasets 4.3.0
- Tokenizers 0.22.2