| --- |
| 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 |
| pipeline_tag: text2text-generation |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # t5-small-generation-code-documentation |
|
|
| This model is a fine-tuned version of [t5-base](https://huggingface.co/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 |
