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GPT2-CLS-Finetuned-MBTI
GItaf/GPT2-CLS-Finetuned-MBTI
GPT2-CLS-Finetuned-MBTI is a text classification model from GItaf. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Nov 9, 2022
- Updated
- Nov 9, 2022
- SHA
- 1ffe6725
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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-CLS-Finetuned-MBTI
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9571
- Cls loss: 1.9559
- Cls Accuracy: 0.6052
- Cls F1: 0.5956
- Cls Precision: 0.6180
- Cls Recall: 0.6052
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 | Cls loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Validation Loss |
|---|---|---|---|---|---|---|---|---|
| 2.0239 | 1.0 | 3470 | 1.7000 | 0.5262 | 0.4961 | 0.5438 | 0.5262 | 1.6998 |
| 1.5182 | 2.0 | 6940 | 1.8171 | 0.5873 | 0.5764 | 0.5971 | 0.5873 | 1.8181 |
| 1.3241 | 3.0 | 10410 | 1.9559 | 0.6052 | 0.5956 | 0.6180 | 0.6052 | 1.9571 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- Created
- Nov 9, 2022
- Updated
- Nov 9, 2022