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README.md
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---
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library_name: peft
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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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- base_model:adapter:Salesforce/codet5-small
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- lora
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- transformers
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metrics:
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- rouge
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model-index:
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- name: codet5-python-summarizer-v3
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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-python-summarizer-v3
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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: 0.0107
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- Rouge1: 0.9856
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- Rouge2: 0.9796
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- Rougel: 0.9856
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- Rougelsum: 0.9856
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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: 5e-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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- num_epochs: 3
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 0.0298 | 1.0 | 1230 | 0.0146 | 0.9812 | 0.9741 | 0.9811 | 0.9812 |
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| 0.0153 | 2.0 | 2460 | 0.0116 | 0.9855 | 0.9794 | 0.9855 | 0.9854 |
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| 0.0236 | 3.0 | 3690 | 0.0107 | 0.9856 | 0.9796 | 0.9856 | 0.9856 |
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### Framework versions
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- PEFT 0.18.1
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- Transformers 4.44.2
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.19.1
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