my_final_llama_model_v2_add_wiki_fix_resume
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0000
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- 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: linear
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2118 | 0.1537 | 500 | 4.1942 |
| 4.1614 | 0.3074 | 1000 | 4.1656 |
| 4.1253 | 0.4611 | 1500 | 4.1383 |
| 4.1131 | 0.6148 | 2000 | 4.1153 |
| 4.0994 | 0.7685 | 2500 | 4.0954 |
| 4.0668 | 0.9222 | 3000 | 4.0779 |
| 4.0383 | 1.0756 | 3500 | 4.0644 |
| 4.049 | 1.2293 | 4000 | 4.0529 |
| 4.0126 | 1.3830 | 4500 | 4.0404 |
| 3.9655 | 1.5367 | 5000 | 4.0297 |
| 3.9358 | 1.6904 | 5500 | 4.0210 |
| 3.9137 | 1.8441 | 6000 | 4.0134 |
| 4.0083 | 1.9978 | 6500 | 4.0067 |
| 3.8427 | 2.1512 | 7000 | 4.0045 |
| 3.8823 | 2.3049 | 7500 | 4.0014 |
| 3.9662 | 2.4586 | 8000 | 4.0000 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
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