Angelectronic/llama3-QA-ViMMRC-Squad-v1.1

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llama3-QA-ViMMRC-Squad-v1.1

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.6506

Model description

More information needed

Intended uses & limitations

• —Prompt 1: Given the following reference, create a question and a corresponding answer to the question: + [context]
• —Prompt 2: Given the following reference, create a multiple-choice question and its corresponding answer: + [context]

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 3407
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 5
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.2
• —Pytorch 2.3.0
• —Datasets 2.19.1
• —Tokenizers 0.19.1