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emotional-gpt2
sherelyn912/emotional-gpt2
emotional-gpt2 is a text classification model from sherelyn912. 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 11, 2024
- Updated
- Apr 11, 2024
- SHA
- 2cba34e5
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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. -->
emotional-gpt2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4988
- Accuracy: 0.3076
- F1: 0.2883
- Precision: 0.3009
- Recall: 0.3076
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.2902 | 1.0 | 1078 | 3.3551 | 0.1506 | 0.1427 | 0.2305 | 0.1506 |
| 0.6921 | 2.0 | 2156 | 3.0549 | 0.2260 | 0.2260 | 0.2747 | 0.2260 |
| 0.2367 | 3.0 | 3234 | 3.1444 | 0.2858 | 0.2670 | 0.2968 | 0.2858 |
| 0.0979 | 4.0 | 4312 | 3.1957 | 0.3149 | 0.3000 | 0.3025 | 0.3149 |
| 0.0348 | 5.0 | 5390 | 3.4988 | 0.3076 | 0.2883 | 0.3009 | 0.3076 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 11, 2024
- Updated
- Apr 11, 2024