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12040accade4e8a0f71eabdb258fecc2e7e948be-finetuned-emotion
hujiaofen/12040accade4e8a0f71eabdb258fecc2e7e948be-finetuned-emotion
12040accade4e8a0f71eabdb258fecc2e7e948be-finetuned-emotion is a text classification model from hujiaofen. 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
- distilbert
- Access
- Public
- Created
- Mar 25, 2025
- Updated
- Mar 25, 2025
- SHA
- 7117ed80
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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. -->
12040accade4e8a0f71eabdb258fecc2e7e948be-finetuned-emotion
This model was trained from scratch on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.2069
- Accuracy: 0.928
- F1: 0.9281
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8072 | 1.0 | 250 | 0.3014 | 0.913 | 0.9126 |
| 0.2454 | 2.0 | 500 | 0.2069 | 0.928 | 0.9281 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 25, 2025
- Updated
- Mar 25, 2025