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my_awesome_model
Emma5099/my_awesome_model
my_awesome_model is a text classification model from Emma5099. 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 29, 2023
- Updated
- Sep 29, 2023
- SHA
- 574c9dbb
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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. -->
my_awesome_model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9029
- Accuracy: 83.5906
- Fairness (1-gap): 86.1552
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: 0.00010182363730274678
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Fairness (1-gap) |
|---|---|---|---|---|---|
| 0.8351 | 1.0 | 257478 | 0.8793 | 82.2789 | 88.4485 |
| 0.7982 | 2.0 | 514956 | 0.9029 | 83.5906 | 86.1552 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Sep 29, 2023
- Updated
- Sep 29, 2023