--- license: apache-2.0 base_model: Salesforce/codet5-small tags: - generated_from_trainer model-index: - name: codet5-small-v8 results: [] --- # codet5-small-v8 This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0620 - Bleu Score: 0.0004 - Gen Len: 16.922 ## Model description Trained: - dataset: chathuranga-jayanath/context-5-predict-token-for-fine-tune-without-comments-from-finmath-portion-1.0-prompt-2 - prompt: [BUG]...[CONTEXT]...[METHOD]... ## 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: 2e-05 - train_batch_size: 30 - eval_batch_size: 30 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:----------:|:-------:| | 0.1297 | 1.0 | 5191 | 0.0920 | 0.0004 | 16.8981 | | 0.0908 | 2.0 | 10382 | 0.0688 | 0.0004 | 16.9204 | | 0.0787 | 3.0 | 15573 | 0.0620 | 0.0004 | 16.922 | ### Framework versions - Transformers 4.38.0.dev0 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1