3aa19aac-9373-40f1-a663-65f6d1765cfa
This model is a fine-tuned version of sethuiyer/Medichat-Llama3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4622
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 263
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0029 | 1 | 1.8964 |
| 1.4814 | 0.1427 | 50 | 1.4733 |
| 1.4054 | 0.2853 | 100 | 1.4547 |
| 1.4786 | 0.4280 | 150 | 1.4586 |
| 1.3757 | 0.5706 | 200 | 1.4517 |
| 1.4173 | 0.7133 | 250 | 1.4622 |
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/3aa19aac-9373-40f1-a663-65f6d1765cfa
Base model
sethuiyer/Medichat-Llama3-8B