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dk_emotion_bert_class
Korsholm22/dk_emotion_bert_class
dk_emotion_bert_class is a text classification model from Korsholm22. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Feb 27, 2023
- Updated
- Feb 27, 2023
- SHA
- bf77d0c2
Try a prompt
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. -->
dk_emotion_bert_class
This model is a fine-tuned version of Maltehb/danish-bert-botxo on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4472
- F1: 0.2600
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 2.8458 | 1.0 | 282 | 2.6602 | 0.1753 |
| 2.5929 | 2.0 | 564 | 2.5180 | 0.2353 |
| 2.4271 | 3.0 | 846 | 2.4849 | 0.2306 |
| 2.3009 | 4.0 | 1128 | 2.4352 | 0.2806 |
| 2.2252 | 5.0 | 1410 | 2.4472 | 0.2600 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Feb 27, 2023
- Updated
- Feb 27, 2023