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deberta-v3-xsmall-emotion – AI Model by philschmid | AlphaNeural AI
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philschmid
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deberta-v3-xsmall-emotion
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transformers
pytorch
deberta-v2
text-classification
generated_from_trainer
emotion
mit
model-index
autotrain_compatible
endpoints_compatible
us
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deberta-v3-xsmall-emotion
This model is a fine-tuned version of
microsoft/deberta-v3-xsmall
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1877
Accuracy: 0.932
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: 3e-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_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.3683
1.0
500
0.8479
0.6975
0.547
2.0
1000
0.2881
0.905
0.2378
3.0
1500
0.2116
0.925
0.1704
4.0
2000
0.1877
0.932
0.1392
5.0
2500
0.1718
0.9295
Framework versions
Transformers 4.12.3
Pytorch 1.9.1
Datasets 1.15.1
Tokenizers 0.10.3
