GaetanMichelet/Llama-31-8B_task-1_60-samples_config-2

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Llama-31-8Btask-160-samples_config-2

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60fttask-1 dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2880

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: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 50

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.44.0
• —Pytorch 2.1.2+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1