| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/long-t5-tglobal-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: model |
| 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. --> |
|
|
| # model |
|
|
| This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.9329 |
| - Rouge: 0.1619 |
| - Meteor: 0.1091 |
|
|
| ## 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: 0.00021414319413263157 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - gradient_accumulation_steps: 3 |
| - total_train_batch_size: 3 |
| - 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: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge | Meteor | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
| | 8.9561 | 0.1 | 25 | 2.1054 | 0.1332 | 0.0870 | |
| | 8.0871 | 0.2 | 50 | 2.0333 | 0.1512 | 0.0986 | |
| | 7.8116 | 0.3 | 75 | 2.0106 | 0.1457 | 0.0949 | |
| | 7.1444 | 0.4 | 100 | 1.9853 | 0.1500 | 0.0989 | |
| | 7.333 | 0.5 | 125 | 1.9705 | 0.1561 | 0.1057 | |
| | 6.8319 | 0.6 | 150 | 1.9586 | 0.1596 | 0.1088 | |
| | 7.2472 | 0.7 | 175 | 1.9541 | 0.1607 | 0.1078 | |
| | 7.7008 | 0.8 | 200 | 1.9407 | 0.1592 | 0.1083 | |
| | 7.3862 | 0.9 | 225 | 1.9361 | 0.1620 | 0.1096 | |
| | 6.6446 | 1.0 | 250 | 1.9329 | 0.1619 | 0.1091 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.0.dev0 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.2 |
| - Tokenizers 0.20.1 |
| |
