rayonlabs/L-MChat-7b-Bitext-retail-ecommerce-llm-chatbot-training-dataset-95ac04d6-a803-4337-a004-46c74f84

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83f42180-15c1-490a-b36a-7a9624357888

This model is a fine-tuned version of Artples/L-MChat-7b on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4879

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: 0.000208
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 80
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWBNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 50
• —training_steps: 500

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.46.0
• —Pytorch 2.5.0+cu124
• —Datasets 3.0.1
• —Tokenizers 0.20.1