1rsh/gemma-2b-it-fr

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

outputs

This model is a fine-tuned version of google/gemma-2b-it on jpacifico/French-Alpaca-dataset-Instruct-110K.

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2
• —training_steps: 150
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.8.2
• —Transformers 4.38.0
• —Pytorch 2.1.0+cu121
• —Datasets 2.17.0
• —Tokenizers 0.15.2