KeerthiPriya/mistral7b-sharded-finetune-bn22

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mistral7b-sharded-finetune-bn22

This model is a fine-tuned version of filipealmeida/Mistral-7B-Instruct-v0.1-sharded on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1132

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

The following bitsandbytes quantization config was used during training:

• —quant_method: bitsandbytes
• —loadin8bit: False
• —loadin4bit: True
• —llmint8threshold: 6.0
• —llmint8skip_modules: None
• —llmint8enablefp32cpu_offload: False
• —llmint8hasfp16weight: False
• —bnb4bitquant_type: nf4
• —bnb4bitusedoublequant: True
• —bnb4bitcompute_dtype: bfloat16

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —training_steps: 2500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.7.0
• —Transformers 4.36.0.dev0
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.15.0