Llama-3.2-1B-Instruct_1ep_lora_v0
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0172
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: 2
- eval_batch_size: 2
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0046 | 1.0 | 388 | 0.0172 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.4.0
- Datasets 4.4.1
- Tokenizers 0.22.1
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Model tree for sem-seis-akcit/Llama-3.2-1B-Instruct_1ep_lora_v0
Base model
meta-llama/Llama-3.2-1B-Instruct