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README.md
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# dezhru7B_dc_shot3
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This model is a fine-tuned version of
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.29.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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# dezhru7B_dc_shot3
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This model is a fine-tuned version of LLaMA2-7B on the collected translation dataset.
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