| license: apache-2.0 | |
| base_model: google-t5/t5-small | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: 0-00005 | |
| 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. --> | |
| # 0-00005 | |
| This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.0603 | |
| - Bleu: 16.4909 | |
| - Gen Len: 28.2457 | |
| ## 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: 5e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 5000 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| | |
| | 2.6169 | 0.0177 | 5000 | 2.0603 | 16.4909 | 28.2457 | | |
| ### Framework versions | |
| - Transformers 4.40.0 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 2.19.0 | |
| - Tokenizers 0.19.1 | |