t5-small-codesearchnet-python3

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1308
  • Rouge1: 0.0046
  • Rouge2: 0.0044
  • Avg Length: 0.317

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Avg Length
No log 1.0 39 8.0395 0.1733 0.0997 18.4264
No log 2.0 78 0.3933 0.0 0.0 0.0004
No log 3.0 117 0.2376 0.0 0.0 0.0
No log 3.99 156 0.1693 0.0 0.0 0.0
No log 4.99 195 0.1308 0.0046 0.0044 0.317

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
Downloads last month
11
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.