| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: ft5-bleu-durga-q1-clean |
| | 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. --> |
| |
|
| | # ft5-bleu-durga-q1-clean |
| |
|
| | This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2757 |
| | - Bleu: 0.1299 |
| |
|
| | ## 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: 0.0003 |
| | - train_batch_size: 24 |
| | - eval_batch_size: 24 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 30 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 3.0328 | 1.0 | 3 | 2.0694 | 0.0089 | |
| | | 1.8606 | 2.0 | 6 | 1.8619 | 0.0161 | |
| | | 2.8564 | 3.0 | 9 | 1.6705 | 0.0171 | |
| | | 1.4505 | 4.0 | 12 | 1.5098 | 0.0110 | |
| | | 1.5253 | 5.0 | 15 | 1.3533 | 0.0157 | |
| | | 1.9042 | 6.0 | 18 | 1.2238 | 0.0269 | |
| | | 1.7751 | 7.0 | 21 | 1.1186 | 0.0307 | |
| | | 1.1806 | 8.0 | 24 | 1.0301 | 0.0299 | |
| | | 1.0575 | 9.0 | 27 | 0.9449 | 0.0399 | |
| | | 0.9038 | 10.0 | 30 | 0.8609 | 0.0441 | |
| | | 1.4179 | 11.0 | 33 | 0.7875 | 0.0409 | |
| | | 1.435 | 12.0 | 36 | 0.7099 | 0.0473 | |
| | | 0.6608 | 13.0 | 39 | 0.6601 | 0.0613 | |
| | | 0.4501 | 14.0 | 42 | 0.6165 | 0.0661 | |
| | | 0.5584 | 15.0 | 45 | 0.5831 | 0.0654 | |
| | | 1.1468 | 16.0 | 48 | 0.5449 | 0.0765 | |
| | | 0.5354 | 17.0 | 51 | 0.5032 | 0.0657 | |
| | | 0.8386 | 18.0 | 54 | 0.4703 | 0.0599 | |
| | | 0.7596 | 19.0 | 57 | 0.4393 | 0.0768 | |
| | | 0.9838 | 20.0 | 60 | 0.4084 | 0.0894 | |
| | | 1.0146 | 21.0 | 63 | 0.3784 | 0.0832 | |
| | | 0.6939 | 22.0 | 66 | 0.3560 | 0.0947 | |
| | | 0.7661 | 23.0 | 69 | 0.3385 | 0.0965 | |
| | | 0.9235 | 24.0 | 72 | 0.3231 | 0.1130 | |
| | | 0.5005 | 25.0 | 75 | 0.3099 | 0.1199 | |
| | | 0.382 | 26.0 | 78 | 0.2982 | 0.1248 | |
| | | 0.5445 | 27.0 | 81 | 0.2882 | 0.1305 | |
| | | 0.5974 | 28.0 | 84 | 0.2816 | 0.1305 | |
| | | 0.6571 | 29.0 | 87 | 0.2775 | 0.1299 | |
| | | 0.5589 | 30.0 | 90 | 0.2757 | 0.1299 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.1 |
| | - Pytorch 2.5.0+cu121 |
| | - Datasets 3.0.2 |
| | - Tokenizers 0.20.1 |
| |
|
