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argilla-news-model
cs608/argilla-news-model
argilla-news-model is a summarization model from cs608. Use it when you need a shorter version of a longer text. 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
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- May 14, 2023
- Updated
- May 14, 2023
- SHA
- bb5c81cb
Try a prompt
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. -->
argilla-news-model
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6567
- Rouge1: 52.1956
- Rouge2: 27.1191
- Rougel: 47.4447
- Rougelsum: 47.4865
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: 5.6e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.0471 | 1.0 | 1532 | 1.6910 | 50.7422 | 26.3198 | 46.3759 | 46.3969 |
| 1.4617 | 2.0 | 3064 | 1.6369 | 52.3416 | 27.1892 | 47.7014 | 47.7618 |
| 1.0947 | 3.0 | 4596 | 1.6567 | 52.1956 | 27.1191 | 47.4447 | 47.4865 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- May 14, 2023
- Updated
- May 14, 2023