metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: t5-small-generation-code-documentation
    results: []
widget:
  - text: >-
      def get_training_corpus(threshold=256): dataset_corpus = dataset['train']
      for start_idx in range(0, len(dataset_corpus), 1000): samples =
      dataset_corpus[start_idx : start_idx + 1000] samples = [sample for sample
      in samples['func_code_tokens'] if len(sample) < threshold] yield samples

t5-small-generation-code-documentation

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

Loss: 6.0071

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 15000

Training results

Training Loss	Epoch	Step	Validation Loss
6.4402	0.16	5000	6.2464
6.237	0.32	10000	6.0546
6.1603	0.48	15000	6.0071

Framework versions

Transformers 4.30.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3