llama4-medical-qlora
This model is a fine-tuned version of meta-llama/Llama-4-Scout-17B-16E-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.3007
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.3185 | 1.0 | 150 | 7.3091 |
| 7.3092 | 2.0 | 300 | 7.3508 |
| 7.3075 | 3.0 | 450 | 7.3007 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
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Model tree for Sathvik265/llama4-medical-qlora
Base model
meta-llama/Llama-4-Scout-17B-16E