| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: bart-large-cnn-10k-lit-evalMA-NOpad | |
| 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. --> | |
| # bart-large-cnn-10k-lit-evalMA-NOpad | |
| This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.9464 | |
| - Rouge1: 28.6721 | |
| - Rouge2: 13.8303 | |
| - Rougel: 22.458 | |
| - Rougelsum: 25.668 | |
| - Gen Len: 66.893 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 1.535 | 1.0 | 10000 | 1.7501 | 28.519 | 13.967 | 22.4854 | 25.4511 | 66.555 | | |
| | 0.8754 | 2.0 | 20000 | 1.9464 | 28.6721 | 13.8303 | 22.458 | 25.668 | 66.893 | | |
| ### Framework versions | |
| - Transformers 4.16.2 | |
| - Pytorch 1.10.2 | |
| - Datasets 1.18.3 | |
| - Tokenizers 0.11.0 | |