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--- |
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license: llama2 |
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base_model: Photolens/llama-2-7b-langchain-chat |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: assistant-llama2-7b-chat |
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results: [] |
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datasets: |
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- wasertech/OneOS |
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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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# assistant-llama2-7b-chat |
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This model is a fine-tuned version of [Photolens/llama-2-7b-langchain-chat](https://huggingface.co/Photolens/llama-2-7b-langchain-chat) on the OneOS 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: 1.41e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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Model is able to mostly answer to complexe queries given its output is parsed propely (accounting for hallucinations). |
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For more information look at the [Prompt Example Section](#prompt-example) |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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# Training Report |
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https://wandb.ai/wasertech/huggingface/reports/Llama2-langchain-chat-fine-tune--Vmlldzo1NTQ2OTAy |
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# Prompt Example |
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The above link leads to a conversation log between [Assistant using this model](https://gitlab.com/waser-technologies/technologies/assistant/-/merge_requests/3/diffs?commit_id=e17a80de631686f7fe94c5ca136214be73bafd8a) and me. |
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https://gist.github.com/wasertech/342cd167ba78060336b3328e9eea0eca |
