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pargraphs_titlesV1.2
AhmedTaha012/pargraphs_titlesV1.2
pargraphs_titlesV1.2 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Dec 24, 2023
- Updated
- Dec 24, 2023
- SHA
- 85c269e3
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_titlesV1.2
This model is a fine-tuned version of AhmedTaha012/pargraphs_titlesV1.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2078
- Rouge1: 85.6494
- Rouge2: 78.7423
- Rougel: 85.6468
- Rougelsum: 85.6405
- Gen Len: 55044224.0
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2417 | 0.98 | 50 | 0.2071 | 85.4314 | 78.3381 | 85.4768 | 85.5142 | 55044224.0 |
| 0.2245 | 1.99 | 101 | 0.2075 | 85.5919 | 78.5428 | 85.6216 | 85.6173 | 55044224.0 |
| 0.2182 | 2.99 | 152 | 0.2076 | 85.8144 | 78.9212 | 85.8405 | 85.8498 | 55044224.0 |
| 0.2122 | 4.0 | 203 | 0.2078 | 85.7866 | 78.9183 | 85.7687 | 85.7753 | 55044224.0 |
| 0.2078 | 5.0 | 254 | 0.2075 | 85.6336 | 78.7705 | 85.6598 | 85.6483 | 55044224.0 |
| 0.2027 | 5.91 | 300 | 0.2078 | 85.6494 | 78.7423 | 85.6468 | 85.6405 | 55044224.0 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Dec 24, 2023
- Updated
- Dec 24, 2023