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SUMMARIZING_STRESSED_MODEL
SyedShaheer/SUMMARIZING_STRESSED_MODEL
SUMMARIZING_STRESSED_MODEL is a summarization model from SyedShaheer. Use it when you need a shorter version of a longer text. 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
- Task
- Summarization
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- May 8, 2024
- SHA
- bc7ff28d
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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. -->
SUMMARIZING_STRESSED_MODEL
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3729
- Rouge1: 0.3318
- Rouge2: 0.0976
- Rougel: 0.2295
- Rougelsum: 0.229
- Gen Len: 68.6667
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: 16
- eval_batch_size: 16
- 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 | 3 | 2.5488 | 0.3021 | 0.0902 | 0.2175 | 0.2163 | 74.1429 |
| No log | 2.0 | 6 | 2.3729 | 0.3318 | 0.0976 | 0.2295 | 0.229 | 68.6667 |
Framework versions
- Transformers 4.27.2
- Pytorch 2.1.0+cu121
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Feb 26, 2024
- Updated
- May 8, 2024