Llama-3-70B-GPTQ
This model is a fine-tuned version of TechxGenus/Meta-Llama-3-70B-Instruct-GPTQ on the None dataset.
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 2 | 2.3162 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.3.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.2
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