aiswaryasankar/santacoder-finetuned-the-stack-bash

santacoder-finetuned-the-stack-bash

This model is a fine-tuned version of bigcode/santacoder on the dbrief dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9406

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: 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: 100
• —training_steps: 5000

Training results

Framework versions

• —Transformers 4.31.0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.0
• —Tokenizers 0.13.3