Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use chathuranga-jayanath/codet5-small-v33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chathuranga-jayanath/codet5-small-v33 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chathuranga-jayanath/codet5-small-v33") model = AutoModelForSeq2SeqLM.from_pretrained("chathuranga-jayanath/codet5-small-v33", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| base_model: Salesforce/codet5-small | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: codet5-small-v33 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # codet5-small-v33 | |
| 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: 0.1783 | |
| - Bleu Score: 0.0008 | |
| - Gen Len: 13.3646 | |
| ## Model description | |
| More information needed | |
| ## 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 | | |
| |:-------------:|:-----:|:-----:|:---------------:|:----------:|:-------:| | |
| | 0.2713 | 1.0 | 3849 | 0.2147 | 0.0008 | 13.3086 | | |
| | 0.2119 | 2.0 | 7698 | 0.1852 | 0.0008 | 13.3657 | | |
| | 0.1962 | 3.0 | 11547 | 0.1783 | 0.0008 | 13.3646 | | |
| ### Framework versions | |
| - Transformers 4.40.0.dev0 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |