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--- |
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license: apache-2.0 |
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base_model: Salesforce/codet5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: codet5-small-ft-v4 |
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results: [] |
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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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# codet5-small-ft-v4 |
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This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4863 |
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- Rouge1: 63.4219 |
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- Rouge2: 52.7146 |
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- Rougel: 62.9897 |
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- Rougelsum: 62.9844 |
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- Gen Len: 17.0139 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.6991 | 1.0 | 3063 | 0.5867 | 61.4049 | 50.9933 | 60.9107 | 60.9129 | 17.1624 | |
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| 0.6145 | 2.0 | 6126 | 0.5189 | 62.4441 | 51.6001 | 62.0291 | 62.02 | 16.9374 | |
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| 0.5615 | 3.0 | 9189 | 0.4973 | 63.3391 | 52.7352 | 62.9065 | 62.9124 | 17.1099 | |
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| 0.5491 | 4.0 | 12252 | 0.4863 | 63.4219 | 52.7146 | 62.9897 | 62.9844 | 17.0139 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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