Azirqui/codet5-python-summarizer-v3

1---2library_name: peft3license: apache-2.04base_model: Salesforce/codet5-small5tags:6- base_model:adapter:Salesforce/codet5-small7- lora8- transformers9metrics:10- rouge11model-index:12- name: codet5-python-summarizer-v313  results: []14---15 16<!-- This model card has been generated automatically according to the information the Trainer had access to. You17should probably proofread and complete it, then remove this comment. -->18 19# codet5-python-summarizer-v320 21This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset.22It achieves the following results on the evaluation set:23- Loss: 0.010724- Rouge1: 0.985625- Rouge2: 0.979626- Rougel: 0.985627- Rougelsum: 0.985628 29## Model description30 31More information needed32 33## Intended uses & limitations34 35More information needed36 37## Training and evaluation data38 39More information needed40 41## Training procedure42 43### Training hyperparameters44 45The following hyperparameters were used during training:46- learning_rate: 5e-0547- train_batch_size: 848- eval_batch_size: 849- seed: 4250- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0851- lr_scheduler_type: linear52- num_epochs: 353- mixed_precision_training: Native AMP54 55### Training results56 57| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |58|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|59| 0.0298        | 1.0   | 1230 | 0.0146          | 0.9812 | 0.9741 | 0.9811 | 0.9812    |60| 0.0153        | 2.0   | 2460 | 0.0116          | 0.9855 | 0.9794 | 0.9855 | 0.9854    |61| 0.0236        | 3.0   | 3690 | 0.0107          | 0.9856 | 0.9796 | 0.9856 | 0.9856    |62 63 64### Framework versions65 66- PEFT 0.18.167- Transformers 4.44.268- Pytorch 2.10.0+cu12869- Datasets 4.0.070- Tokenizers 0.19.1