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pargraphs_titlesV1.0
AhmedTaha012/pargraphs_titlesV1.0
pargraphs_titlesV1.0 is a machine learning model from AhmedTaha012. 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
- t5
- Access
- Public
- Created
- Dec 23, 2023
- Updated
- Dec 23, 2023
- SHA
- 7b76b311
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. -->
pargraphs_titlesV1.0
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2697
- Rouge1: 68.705
- Rouge2: 54.5204
- Rougel: 67.7709
- Rougelsum: 67.7942
- Gen Len: 1401169535.5
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: 4e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.347 | 0.44 | 100 | 0.2634 | 65.1158 | 48.282 | 63.708 | 63.7424 | 1401169536.0 |
| 0.2412 | 0.88 | 200 | 0.3167 | 66.0958 | 50.4705 | 65.1041 | 65.1412 | 1401169536.0 |
| 0.2069 | 1.32 | 300 | 0.2357 | 68.6707 | 53.5945 | 67.3654 | 67.371 | 1401169536.0 |
| 0.1825 | 1.76 | 400 | 0.3932 | 65.7022 | 51.08 | 64.9927 | 65.0322 | 1401169536.0 |
| 0.1643 | 2.2 | 500 | 0.2223 | 69.132 | 54.5176 | 67.881 | 67.8987 | 1401169535.0 |
| 0.1715 | 2.64 | 600 | 0.2227 | 69.2258 | 54.2845 | 68.0181 | 68.0404 | 1401169535.5 |
| 0.1571 | 3.08 | 700 | 0.2707 | 68.9908 | 54.7777 | 68.1279 | 68.151 | 1401169536.0 |
| 0.1584 | 3.52 | 800 | 0.2193 | 70.9126 | 56.4866 | 69.6718 | 69.6687 | 1401169535.5 |
| 0.1565 | 3.96 | 900 | 0.3482 | 68.6691 | 54.8446 | 67.796 | 67.8541 | 1401169536.0 |
| 0.155 | 4.4 | 1000 | 0.2694 | 69.1457 | 55.1123 | 68.2207 | 68.2543 | 1401169536.0 |
| 0.1586 | 4.84 | 1100 | 0.2697 | 68.705 | 54.5204 | 67.7709 | 67.7942 | 1401169535.5 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 23, 2023
- Updated
- Dec 23, 2023