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dk_emotion_bert_in_class – AI Model by EJaalborg2022 | AlphaNeural AI
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EJaalborg2022
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dk_emotion_bert_in_class
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transformers
pytorch
bert
text-classification
generated_from_trainer
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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dk_emotion_bert_in_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: 2.3750
F1: 0.2966
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
2.8456
1.0
282
2.6385
0.1926
2.5809
2.0
564
2.4851
0.2362
2.4221
3.0
846
2.4221
0.2589
2.2864
4.0
1128
2.3886
0.2864
2.2038
5.0
1410
2.3750
0.2966
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
