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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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datasets: |
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- CAS-SIAT-ConsistencyAI/CoEvol |
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language: |
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- en |
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--- |
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# CoEvol-Mixtral_Mistral-7B-v0.1_SFT |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the [coevol-mixtral_multi_deita6k](https://huggingface.co/datasets/CAS-SIAT-ConsistencyAI/CoEvol/blob/main/coevol-mixtral_multi_deita6k.json) 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: 1 |
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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: 4 |
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- gradient_accumulation_steps: 128 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 6.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
