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bart-large-samsum
roiyeho/bart-large-samsum
bart-large-samsum is a summarization model from roiyeho. 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 19, 2024
- Updated
- Mar 10, 2024
- SHA
- 1a00b18b
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Base models
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-samsum
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: 1.3635
- Rouge1: 0.3962
- Rouge2: 0.2011
- Rougel: 0.3064
- Rougelsum: 0.3064
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.3824 | 0.43 | 400 | 1.4666 | 0.3995 | 0.2014 | 0.3061 | 0.3064 |
| 1.2617 | 0.87 | 800 | 1.3350 | 0.4065 | 0.2063 | 0.3113 | 0.3115 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Feb 19, 2024
- Updated
- Mar 10, 2024