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my_awesome_model_gpt
Rz1010/my_awesome_model_gpt
my_awesome_model_gpt is a text classification model from Rz1010. 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
- Apr 27, 2024
- Updated
- Apr 27, 2024
- SHA
- 5aba8cdd
Try a prompt
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. -->
my_awesome_model_gpt
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2778
- Accuracy: 0.9579
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 222 | 0.1952 | 0.9474 |
| No log | 2.0 | 444 | 0.3709 | 0.9368 |
| 0.2915 | 3.0 | 666 | 0.2778 | 0.9579 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 27, 2024
- Updated
- Apr 27, 2024