CFcontract_llama3.1-8B
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.3447
Model description
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Intended uses & limitations
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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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2926 | 0.0349 | 5000 | 1.3447 |
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1
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Model tree for Hiranmai49/CFcontract_llama3.1-8B
Base model
meta-llama/Llama-3.1-8B