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mpasila/JP-EN-Translator-2K-steps-LoRA-7B
JP-EN-Translator-2K-steps-LoRA-7B is a machine learning model from mpasila. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Experimental model, may not perform that well. Dataset used is a modified version of NilanE/ParallelFiction-JaEn-100k.
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Updated Mar 28, 2024
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From the Hugging Face model README
Experimental model, may not perform that well. Dataset used is a modified version of NilanE/ParallelFiction-Ja_En-100k.
After training with an 8k context length it didn't appear to improve performance much at all. Not sure if I should keep training it (which is costly) or if I should fix some issues with the dataset (like it starting with Ch or Chapter) or I go back to finetuning Finnish models.
Below is a translation task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction:
{}
### Input:
{}
### Response:
{}
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.