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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flashatt1_llama213B_yyj_deruzh.shot3.highcomet_-1.0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# flashatt1_llama213B_yyj_deruzh.shot3.highcomet_-1.0 |
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This model is a fine-tuned version of [/mnt/nanjing3cephfs/pr-others-prctrans/lemonzeng/search/mGPT/models/llama-2-13b](https://huggingface.co//mnt/nanjing3cephfs/pr-others-prctrans/lemonzeng/search/mGPT/models/llama-2-13b) on the None dataset. |
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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: 4 |
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- eval_batch_size: 8 |
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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: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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 4.28.0 |
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- Pytorch 1.13.1 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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