andstor/bigcode-starcoder2-7b-unit-test-ia3

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output

This model is a fine-tuned version of bigcode/starcoder2-7b on the andstor/methods2test_small fm+fc+c+m+f+t+tc dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7015
• —Accuracy: 0.7202

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: 0.0003
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 2
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.41.0.dev0
• —Pytorch 2.2.1+cu118
• —Datasets 2.17.1
• —Tokenizers 0.19.1