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distilbart-cnn-12-6-rate-prof
noppakornj/distilbart-cnn-12-6-rate-prof
distilbart-cnn-12-6-rate-prof is a machine learning model from noppakornj. 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
- Apr 30, 2023
- Updated
- Apr 30, 2023
- SHA
- 6371c71c
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. -->
distilbart-cnn-12-6-rate-prof
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0922
- Rouge1: 0.3041
- Rouge2: 0.1196
- Rougel: 0.2229
- Rougelsum: 0.2241
- Gen Len: 66.9333
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 68 | 1.1530 | 0.2844 | 0.0943 | 0.204 | 0.2027 | 67.8 |
| No log | 2.0 | 136 | 1.0948 | 0.2614 | 0.0498 | 0.1672 | 0.168 | 67.8 |
| No log | 3.0 | 204 | 1.0797 | 0.3042 | 0.0983 | 0.2068 | 0.2082 | 66.6667 |
| No log | 4.0 | 272 | 1.0808 | 0.2932 | 0.0914 | 0.2012 | 0.2024 | 67.1333 |
| No log | 5.0 | 340 | 1.0922 | 0.3041 | 0.1196 | 0.2229 | 0.2241 | 66.9333 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 30, 2023
- Updated
- Apr 30, 2023