lmeninato/t5-small-codesearchnet-python

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t5-small-codesearchnet-python

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0785
• —Bleu: 0.035
• —Rouge1: 0.6257
• —Rouge2: 0.6078
• —Avg Length: 16.9954

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 10
• —totaltrainbatch_size: 80
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 15

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu118
• —Datasets 2.12.0
• —Tokenizers 0.13.3