b5fda805-c882-4da4-9d6e-7a33b112f7ed
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: 8.3163
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- 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: 392
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0026 | 1 | 10.5672 |
| 8.892 | 0.1277 | 50 | 8.9306 |
| 8.6333 | 0.2554 | 100 | 8.6522 |
| 8.4565 | 0.3831 | 150 | 8.5061 |
| 8.3944 | 0.5109 | 200 | 8.4095 |
| 8.2665 | 0.6386 | 250 | 8.3584 |
| 8.2695 | 0.7663 | 300 | 8.3206 |
| 8.3256 | 0.8940 | 350 | 8.3163 |
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 lesso10/b5fda805-c882-4da4-9d6e-7a33b112f7ed
Base model
TitanML/tiny-mixtral