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codet5-fine-tuned

This model is a fine-tuned version of Salesforce/codet5p-220m-py on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1204

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: 6
  • eval_batch_size: 6
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
No log 0.98 28 0.1244
No log 2.0 57 0.1198
No log 2.98 85 0.1191
0.103 3.93 112 0.1204

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Safetensors
Model size
223M params
Tensor type
F32
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