| | --- |
| | base_model: csebuetnlp/mT5_multilingual_XLSum |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: deed-summarization_version_2 |
| | 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. --> |
| |
|
| | # deed-summarization_version_2 |
| |
|
| | This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6086 |
| | - Rouge1: 0.0 |
| | - Rouge2: 0.0 |
| | - Rougel: 0.0 |
| | - Rougelsum: 0.0 |
| | - Gen Len: 56.7134 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 5000 |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | 3.5903 | 1.0 | 232 | 3.5371 | 0.0 | 0.0 | 0.0 | 0.0 | 35.1573 | |
| | | 2.577 | 2.0 | 464 | 2.2487 | 0.0 | 0.0 | 0.0 | 0.0 | 49.9181 | |
| | | 1.6168 | 3.0 | 696 | 1.8681 | 0.0 | 0.0 | 0.0 | 0.0 | 58.1422 | |
| | | 1.7148 | 4.0 | 928 | 1.6086 | 0.0 | 0.0 | 0.0 | 0.0 | 56.7134 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| | |
