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jq_emo_gpt
tingtone/jq_emo_gpt
jq_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 2, 2023
- Updated
- Jun 7, 2023
- SHA
- b5348a21
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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. -->
jq_emo_gpt
This model is a fine-tuned version of gpt2 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.2536
- Accuracy: 0.947
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: 6400
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5109 | 1.0 | 16000 | 0.5014 | 0.929 |
| 0.3765 | 2.0 | 32000 | 0.3135 | 0.9385 |
| 0.2526 | 3.0 | 48000 | 0.2385 | 0.945 |
| 0.1952 | 4.0 | 64000 | 0.2536 | 0.947 |
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 2, 2023
- Updated
- Jun 7, 2023