Adil1567/mistral-sft-lora-fsdp

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mistral-sft-lora-fsdp

This model is a fine-tuned version of meta-llama/Llama-3.1-70B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4034

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: 0.0001
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 100
• —distributed_type: multi-GPU
• —num_devices: 5
• —totaltrainbatch_size: 5
• —totalevalbatch_size: 5
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 1.0

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.45.2
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.1