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deberta-v3-emotion-multilabel-classifier – AI Model by ngantuk-banget-wok | AlphaNeural AI
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ngantuk-banget-wok
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deberta-v3-emotion-multilabel-classifier
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-emotion-multilabel-classifier
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1926
Macro F1: 0.3872
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: Use OptimizerNames.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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Macro F1
0.2139
1.0
1307
0.2002
0.3182
0.1919
2.0
2614
0.1950
0.3742
0.1816
3.0
3921
0.1926
0.3872
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
