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t5-sst2
lightsout19/t5-sst2
t5-sst2 is a text classification model from lightsout19. Use it when you need a label for a piece of 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 25, 2024
- SHA
- 9c1bdb5d
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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. -->
t5-sst2
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2725
- Accuracy: 0.9014
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2778 | 1.0 | 2105 | 0.2721 | 0.8899 |
| 0.2401 | 2.0 | 4210 | 0.2660 | 0.8979 |
| 0.2173 | 3.0 | 6315 | 0.2661 | 0.8956 |
| 0.2081 | 4.0 | 8420 | 0.2701 | 0.8979 |
| 0.2123 | 5.0 | 10525 | 0.2725 | 0.9014 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 24, 2024
- Updated
- Oct 25, 2024