shakhizat/flash_attention_fine-tuned_mistral

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flashattentionfine-tuned_mistral

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1909

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 1
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 2
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.01
• —training_steps: 100

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.41.1
• —Pytorch 2.2.0
• —Datasets 2.19.1
• —Tokenizers 0.19.1