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LLama-translation
This model is a fine-tuned version of TheBloke/Llama-2-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3955
- eval_runtime: 179.6096
- eval_samples_per_second: 9.565
- eval_steps_per_second: 1.197
- epoch: 2.0
- step: 774
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: 0.0001
- train_batch_size: 40
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1285
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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