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emotions_version_01 – AI Model by rafaelcarvalhoj | AlphaNeural AI
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emotions_version_01
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transformers
pytorch
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
microsoft/deberta-v3-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1348
Pearson: 0.9152
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: 8e-05
train_batch_size: 256
eval_batch_size: 512
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Pearson
No log
1.0
18
0.7166
0.2783
No log
2.0
36
0.4269
0.6371
No log
3.0
54
0.1903
0.8733
No log
4.0
72
0.1283
0.9118
No log
5.0
90
0.1348
0.9152
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
