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bart-large-cnn-weaksup-100-NOpad-early
cammy/bart-large-cnn-weaksup-100-NOpad-early
bart-large-cnn-weaksup-100-NOpad-early is a machine learning model from cammy. 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
- Mar 13, 2022
- Updated
- Mar 13, 2022
- SHA
- ab3d69b2
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-large-cnn-weaksup-100-NOpad-early
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0768
- Rouge1: 28.7908
- Rouge2: 10.6989
- Rougel: 20.534
- Rougelsum: 24.1294
- Gen Len: 68.5
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 1.8905 | 31.1534 | 13.7074 | 21.6489 | 27.0709 | 64.2 |
| No log | 2.0 | 200 | 2.0768 | 28.7908 | 10.6989 | 20.534 | 24.1294 | 68.5 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2
- Datasets 1.18.3
- Tokenizers 0.11.0
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Mar 13, 2022
- Updated
- Mar 13, 2022