| --- |
| license: apache-2.0 |
| tags: |
| - summarization |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bart-large-finetuned-summarization |
| 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-finetuned-summarization |
|
|
| This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1841 |
| - Rouge1: 32.6763 |
| - Rouge2: 23.1598 |
| - Rougel: 31.2322 |
| - Rougelsum: 32.278 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5.6e-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 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
| | 1.7048 | 1.0 | 308 | 1.1916 | 32.0296 | 21.6931 | 30.2623 | 31.1959 | |
| | 1.1153 | 2.0 | 616 | 1.2054 | 30.7076 | 21.7771 | 29.3115 | 29.9377 | |
| | 0.78 | 3.0 | 924 | 1.1096 | 32.4164 | 22.494 | 31.0367 | 31.8135 | |
| | 0.5335 | 4.0 | 1232 | 1.1547 | 33.2561 | 23.6119 | 32.1371 | 32.591 | |
| | 0.361 | 5.0 | 1540 | 1.1841 | 32.6763 | 23.1598 | 31.2322 | 32.278 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.28.0 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
