1_4_GPTNeoX-160m-minipile-2048-fa2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0148
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: 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.976 | 1.0 | 500 | 3.0129 |
| 2.8634 | 2.0 | 1000 | 3.0148 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.5.1+cu121
- Datasets 3.0.1
- Tokenizers 0.22.1
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