NeoLLM
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6415
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: 0.0006
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.3621 | 0.1067 | 5000 | 5.2780 |
| 5.0519 | 0.2133 | 10000 | 4.9718 |
| 4.9329 | 0.32 | 15000 | 4.8592 |
| 4.8972 | 0.4267 | 20000 | 4.8090 |
| 4.8781 | 0.5333 | 25000 | 4.7918 |
| 4.8643 | 0.64 | 30000 | 4.7817 |
| 4.8639 | 0.7467 | 35000 | 4.7703 |
| 4.7685 | 0.8533 | 40000 | 4.6963 |
| 4.7206 | 0.96 | 45000 | 4.6415 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.22.1
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