LoRA_finetuned_model
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0071
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.3045 | 0.0277 | 10 | 1.2147 |
1.1383 | 0.0553 | 20 | 1.0999 |
1.0624 | 0.0830 | 30 | 1.0378 |
0.9968 | 0.1107 | 40 | 1.0186 |
0.9951 | 0.1383 | 50 | 1.0071 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for steffygreypaul/LoRA_finetuned_model
Base model
meta-llama/Llama-3.2-1B-Instruct