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--- |
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license: other |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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base_model: Kquant03/NeuralTrix-7B-dpo-laser |
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model-index: |
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- name: train_2024-02-15-20-15-48 |
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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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# train_2024-02-15-20-15-48 |
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This model is a fine-tuned version of [Kquant03/NeuralTrix-7B-dpo-laser](https://huggingface.co/Kquant03/NeuralTrix-7B-dpo-laser) on the alpaca_en 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: 5e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 3.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.2 |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_NovoCode__NeuralPaca-7b) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |66.57| |
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|AI2 Reasoning Challenge (25-Shot)|62.80| |
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|HellaSwag (10-Shot) |83.01| |
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|MMLU (5-Shot) |63.02| |
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|TruthfulQA (0-shot) |48.32| |
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|Winogrande (5-shot) |81.69| |
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|GSM8k (5-shot) |60.58| |
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