c40233a3-6773-4ce6-9248-09c084e8a4e0
This model is a fine-tuned version of TitanML/tiny-mixtral on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.9281
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: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 10.5752 |
| 8.8474 | 0.0082 | 50 | 9.1899 |
| 8.728 | 0.0164 | 100 | 9.0504 |
| 8.58 | 0.0246 | 150 | 8.4894 |
| 7.9763 | 0.0328 | 200 | 8.0208 |
| 7.9405 | 0.0410 | 250 | 7.5904 |
| 7.4913 | 0.0492 | 300 | 7.2910 |
| 7.4206 | 0.0574 | 350 | 7.0863 |
| 7.7241 | 0.0655 | 400 | 6.9814 |
| 7.2824 | 0.0737 | 450 | 6.9376 |
| 7.1336 | 0.0819 | 500 | 6.9281 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso03/c40233a3-6773-4ce6-9248-09c084e8a4e0
Base model
TitanML/tiny-mixtral