autoevaluator
HF staff
Add evaluation results on the 3.0.0 config and test split of cnn_dailymail
bd2b497
| language: en | |
| license: mit | |
| library_name: transformers | |
| tags: | |
| - summarization | |
| - bart | |
| datasets: ccdv/arxiv-summarization | |
| model-index: | |
| - name: BARTxiv | |
| results: | |
| - task: | |
| type: summarization | |
| dataset: | |
| name: arxiv-summarization | |
| type: ccdv/arxiv-summarization | |
| split: validation | |
| metrics: | |
| - type: rouge1 | |
| value: 41.70204016592095 | |
| - type: rouge2 | |
| value: 15.134827404979639 | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: cnn_dailymail | |
| type: cnn_dailymail | |
| config: 3.0.0 | |
| split: test | |
| metrics: | |
| - type: rouge | |
| value: 42.6935 | |
| name: ROUGE-1 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjllYzUzNWNjZWQyMDdjNTYxYTFhNmM5MWZlNzljZWVmNTE0N2E1ZWQxNDUzZTkwNTY5OWY2YzViNDIyMDg3MiIsInZlcnNpb24iOjF9.ehl1eTGu4x9i_8rpVUvzqK6y89N0AvVHHUc_Z_A35TpR1_6hhxnxpB67RWaPd5cYhUKVvwryxHfaoLH0WHlfDg | |
| - type: rouge | |
| value: 19.9458 | |
| name: ROUGE-2 | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTdkODkyMjBlMGZlOTgzOTQ5OGE2ZmEzMjM3NDRiOTBlYzU0YTU5YmQzMDBmZTMwOWQ4Nzc3NGM4ZWZkODZhOCIsInZlcnNpb24iOjF9.ChzOw3oJ2CKdqnJr8GyRcpbhoMdmhvVelOEOZ9l9OoPS8dGF2dsZhz6pPmuIcVLuap6uPryFLJyM3s_doXEFCA | |
| - type: rouge | |
| value: 28.7611 | |
| name: ROUGE-L | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzg2OGZjOWNlNjYyZTQxZjRkYTMzMjE4MGI4YjI2NTRjMTRmMDYyNjBkNzk2ODdlZjVhOWY1Zjc3OTAyMTk4MyIsInZlcnNpb24iOjF9.QUE_vKtGAnZf3Dd3cM9boIZba5DPLxUtQb8I5TQgwWy6pcJ8PKNvewR5uscU6aNmIY_gcfNtyE6c-7xIxHBFAQ | |
| - type: rouge | |
| value: 39.0496 | |
| name: ROUGE-LSUM | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjdkM2E4YTYwMWU3MTRkMDc5ODI0N2JhMWU4ODdhZTY0NDg1ZDQxMjRiYzQ4Y2Q2Y2RmZmZjZGY1YzEwNmE0NyIsInZlcnNpb24iOjF9.OhIZWxf5COw52hqK-Kan73Tsr3C3lIXS72SRYNH9Ph81JxQ1D12QeSlN6JaAtFmOWLxs_xs60H0Icbo9-letDg | |
| - type: loss | |
| value: 2.429295539855957 | |
| name: loss | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTI5MzUxMjNhODM3ZDQ4NDk3ZTgzYTQyYjBlZTExYzI3MmJjZjdhNjhkODMyMzA0M2Q5Nzk3MTViM2QxOGJkYSIsInZlcnNpb24iOjF9.2iOkGmRyyVxJdc9oQukeKWCxu0V-5zudxIg4msELcHvks3hQwHcO8QKSZ2A7Io_QC0F999maTIqCTvPcJTvxBQ | |
| - type: gen_len | |
| value: 97.3349 | |
| name: gen_len | |
| verified: true | |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjZiZmZkNzEyYTlhOGI3YWVlMjdjOWMzYWQ4YmU5ZjI0Yzk2NDE0OTkwYjFkNTNmMWM3MDk1OWU1ZDA0NTYyOCIsInZlcnNpb24iOjF9.oE6OwT5oO8xJak7HN4L0OHzmoaSghLZqiFy24KygS21jNVpbwXj793rV5RcPkJNWJb6agRktxXqtCZyxAzqMBw | |
| <!-- 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. --> | |
| # BARTxiv | |
| See the model implementation [here](https://interrsect.web.app). | |
| This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the [arxiv-summarization](https://huggingface.co/datasets/ccdv/arxiv-summarization) dataset. | |
| It achieves the following results on the validation set: | |
| - Loss: 0.86 | |
| - Rouge1: 41.70 | |
| - Rouge2: 15.13 | |
| - Rougel: 22.85 | |
| - Rougelsum: 37.77 | |
| ## 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: 1e-6 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adafactor | |
| - num_epochs: 9 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | |
| | 1.24 | 1.0 | 1073 | 1.24 | 38.32 | 12.80 | 20.55 | 34.50 | | |
| | 1.04 | 2.0 | 2146 | 1.04 | 39.65 | 13.74 | 21.28 | 35.83 | | |
| | 0.979 | 3.0 | 3219 | 0.98 | 40.19 | 14.30 | 21.87 | 36.38 | | |
| | 0.970 | 4.0 | 4292 | 0.97 | 40.87 | 14.44 | 22.14 | 36.89 | | |
| | 0.918 | 5.0 | 5365 | 0.92 | 41.17 | 14.94 | 22.54 | 37.40 | | |
| | 0.901 | 6.0 | 6438 | 0.90 | 41.02 | 14.65 | 22.46 | 37.05 | | |
| | 0.889 | 7.0 | 7511 | 0.89 | 41.32 | 15.09 | 22.64 | 37.42 | | |
| | 0.900 | 8.0 | 8584 | 0 .90 | 41.23 | 15.02 | 22.67 | 37.28 | | |
| | 0.869 | 9.0 | 9657 | 0.87 | 41.70 | 15.13 | 22.85 | 37.77 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 |