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go_emo_gpt
tingtone/go_emo_gpt
go_emo_gpt is a text classification model from tingtone. 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
- Jun 4, 2023
- Updated
- Jun 7, 2023
- SHA
- c895f933
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Datasets
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. -->
go_emo_gpt
This model is a fine-tuned version of gpt2 on the go_emotions dataset. It achieves the following results on the evaluation set:
- Loss: 0.0964
- F1: 0.6010
- Roc Auc: 0.7659
- Accuracy: 0.4996
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: (13023,)
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.105 | 1.0 | 43410 | 0.0967 | 0.5795 | 0.7476 | 0.4757 |
| 0.0949 | 2.0 | 86820 | 0.0938 | 0.6012 | 0.7636 | 0.5035 |
| 0.0837 | 3.0 | 130230 | 0.0964 | 0.6010 | 0.7659 | 0.4996 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Jun 4, 2023
- Updated
- Jun 7, 2023