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gpt2-sst2
lightsout19/gpt2-sst2
gpt2-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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Oct 2, 2024
- SHA
- a735044f
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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. -->
gpt2-sst2
This model is a fine-tuned version of gpt2 on sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3861
- Accuracy: 0.9232
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 |
|---|---|---|---|---|
| 0.1287 | 1.0 | 2105 | 0.3214 | 0.9174 |
| 0.1101 | 2.0 | 4210 | 0.3337 | 0.9140 |
| 0.0914 | 3.0 | 6315 | 0.3200 | 0.9140 |
| 0.0726 | 4.0 | 8420 | 0.3436 | 0.9220 |
| 0.059 | 5.0 | 10525 | 0.3861 | 0.9232 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Sep 26, 2024
- Updated
- Oct 2, 2024