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distill_emo_en
arthd24/distill_emo_en
distill_emo_en is a text classification model from arthd24. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024
- SHA
- eee3a675
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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. -->
distill_emo_en
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1203
- Accuracy: 0.9586
- F1: 0.9486
- Recall: 0.9485
- Precision: 0.9487
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.5824 | 1.0 | 535 | 0.1556 | 0.9481 | 0.9360 | 0.9273 | 0.9519 |
| 0.1149 | 2.0 | 1070 | 0.1039 | 0.9558 | 0.9463 | 0.9497 | 0.9432 |
| 0.073 | 3.0 | 1605 | 0.1055 | 0.9560 | 0.9453 | 0.9448 | 0.9458 |
| 0.0433 | 4.0 | 2140 | 0.1203 | 0.9586 | 0.9486 | 0.9485 | 0.9487 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024