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--- |
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license: cc-by-nc-4.0 |
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datasets: |
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- vicgalle/alpaca-gpt4 |
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language: |
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- en |
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--- |
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## Model Overview |
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Model license: cc-by-nc-4.0<br> |
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This model is trained based on [EleutherAI/pythia-1.4b-deduped](https://huggingface.co/EleutherAI/pythia-1.4b-deduped) model that is LoRA finetuned on [vicgalle/alpaca-gpt4](https://huggingface.co/datasets/vicgalle/alpaca-gpt4) dataset.<br> |
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## Prompt Template: `Alpaca` |
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``` |
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<system_prompt> |
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### Instruction: |
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<user_message> |
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### Response: |
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<assistant_response> |
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``` |
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## Intended Use |
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THIS IS A TEST MODEL, IT IS NOT INTENDED FOR REAL APPLICATIONS BY ANY MEANS. HOWEVER, A NEW MODEL IS COMING IN THE SAME TOPIC.<br> |
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This model series will be used for small but intense applications. |
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## Training Details |
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This model took `2:31:23` to train in QLoRA on a single `T4` GPU.<br> |
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- *epochs*: `1` |
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- *train batch size*: `12` |
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- *eval batch size*: `12` |
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- *gradient accumulation steps*: `1` |
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- *maximum gradient normal*: `0.3` |
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- *learning rate*: `2e-4` |
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- *weight decay*: `0.001` |
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- *optimizer*: `paged_adamw_32bit` |
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- *learning rate schedule*: `cosine` |
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- *warmup ratio (linear)*: `0.03` |
