| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: focus_sum |
| | 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. --> |
| |
|
| | # focus_sum |
| | |
| | This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0575 |
| | |
| | ## 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: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 30 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.9644 | 3.75 | 500 | 0.6880 | |
| | | 0.4682 | 7.52 | 1000 | 0.4350 | |
| | | 0.4672 | 11.28 | 1500 | 0.2599 | |
| | | 0.3439 | 15.04 | 2000 | 0.1568 | |
| | | 0.2753 | 18.79 | 2500 | 0.1064 | |
| | | 0.1885 | 22.55 | 3000 | 0.0737 | |
| | | 0.2185 | 26.31 | 3500 | 0.0575 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.18.0 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 2.0.0 |
| | - Tokenizers 0.12.1 |
| | |
