| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: sshleifer/distilbart-xsum-12-6 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: trained-distilbart-abs-3008 |
| | 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. --> |
| |
|
| | # trained-distilbart-abs-3008 |
| |
|
| | This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6.4112 |
| | - Rouge/rouge1: 0.0 |
| | - Rouge/rouge2: 0.0 |
| | - Rouge/rougel: 0.0 |
| | - Rouge/rougelsum: 0.0 |
| | - Bertscore/bertscore-precision: 0.0 |
| | - Bertscore/bertscore-recall: 0.0 |
| | - Bertscore/bertscore-f1: 0.0 |
| | - Meteor: 0.0 |
| | - Gen Len: 80.0 |
| |
|
| | ## 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: 0.003 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge/rouge1 | Rouge/rouge2 | Rouge/rougel | Rouge/rougelsum | Bertscore/bertscore-precision | Bertscore/bertscore-recall | Bertscore/bertscore-f1 | Meteor | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-----------------------------:|:--------------------------:|:----------------------:|:------:|:-------:| |
| | | 6.2931 | 1.0 | 109 | 6.4112 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 80.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
| |
|
