GabSo/santacoder-finetuned-robot2

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santacoder-finetuned-robot2

This model is a fine-tuned version of bigcode/santacoder on the dataset datas.csv (généré par gpt3.5-turbo à partir de quelqes exemples). It achieves the following results on the evaluation set:

• —Loss: 0.6283

Model description

More information needed

Intended uses & limitations

Ce modèle permet de commander un robot à partir d'instruction en langage naturel.

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1
• —training_steps: 20

Training results

Framework versions

• —Transformers 4.33.2
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.5
• —Tokenizers 0.13.3