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dialogue-summarizationv1
Ecosmob555/dialogue-summarizationv1
dialogue-summarizationv1 is a machine learning model from Ecosmob555. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Jul 20, 2022
- Updated
- Jul 20, 2022
- SHA
- 91c770ac
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
dialogue-summarizationv1
This model is a fine-tuned version of facebook/bart-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.5298
- Rouge1: 47.3665
- Rouge2: 23.9331
- Rougel: 39.9646
- Rougelsum: 43.594
- Gen Len: 17.8264
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.5818 | 1.0 | 1841 | 1.5298 | 47.3665 | 23.9331 | 39.9646 | 43.594 | 17.8264 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Jul 20, 2022
- Updated
- Jul 20, 2022