376486a9-a13d-4285-837d-92a603f6e5de
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: 8.5250
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: 0.0001006
- 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=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.5357 | 0.0012 | 1 | 10.5768 |
| 9.0359 | 0.0593 | 50 | 8.9945 |
| 9.412 | 0.1186 | 100 | 8.7903 |
| 9.381 | 0.1778 | 150 | 8.6029 |
| 8.9243 | 0.2371 | 200 | 8.5250 |
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 lesso/376486a9-a13d-4285-837d-92a603f6e5de
Base model
TitanML/tiny-mixtral