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t5-small-finetuned-xsum
ravinderbrai/t5-small-finetuned-xsum
t5-small-finetuned-xsum is a machine learning model from ravinderbrai. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 17, 2024
- Updated
- Feb 18, 2024
- SHA
- 23740f32
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. -->
t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8056
- Rouge1: 16.8725
- Rouge2: 2.4419
- Rougel: 15.739
- Rougelsum: 15.7732
- Gen Len: 19.0
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: 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.69 | 1.0 | 584 | 2.9680 | 16.6251 | 2.1336 | 15.551 | 15.606 | 18.9812 |
| 3.2113 | 2.0 | 1168 | 2.8383 | 17.0265 | 2.4793 | 15.8903 | 15.9416 | 19.0 |
| 3.0921 | 3.0 | 1752 | 2.8056 | 16.8725 | 2.4419 | 15.739 | 15.7732 | 19.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- Created
- Feb 17, 2024
- Updated
- Feb 18, 2024