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bart-cnn-science-v3-e2-v4-e2-manual
theojolliffe/bart-cnn-science-v3-e2-v4-e2-manual
bart-cnn-science-v3-e2-v4-e2-manual is a machine learning model from theojolliffe. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Jun 18, 2022
- Updated
- Jun 18, 2022
- SHA
- b28f8adb
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. -->
bart-cnn-science-v3-e2-v4-e2-manual
This model is a fine-tuned version of theojolliffe/bart-cnn-science-v3-e2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9189
- Rouge1: 55.982
- Rouge2: 36.9147
- Rougel: 39.1563
- Rougelsum: 53.5959
- Gen Len: 142.0
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 42 | 0.9365 | 53.4332 | 34.0477 | 36.9735 | 51.1918 | 142.0 |
| No log | 2.0 | 84 | 0.9189 | 55.982 | 36.9147 | 39.1563 | 53.5959 | 142.0 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Jun 18, 2022
- Updated
- Jun 18, 2022