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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-small-generation-code-documentation |
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results: [] |
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widget: |
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- text: >- |
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def get_training_corpus(threshold=256): dataset_corpus = dataset['train'] |
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for start_idx in range(0, len(dataset_corpus), 1000): samples = |
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dataset_corpus[start_idx : start_idx + 1000] samples = [sample for sample in |
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samples['func_code_tokens'] if len(sample) < threshold] yield samples |
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pipeline_tag: text2text-generation |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# t5-small-generation-code-documentation |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.0071 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 15000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 6.4402 | 0.16 | 5000 | 6.2464 | |
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| 6.237 | 0.32 | 10000 | 6.0546 | |
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| 6.1603 | 0.48 | 15000 | 6.0071 | |
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### Framework versions |
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- Transformers 4.30.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
