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deberta-finetuned-answer-polarity-5e – AI Model by GCopoulos | AlphaNeural AI
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GCopoulos
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deberta-finetuned-answer-polarity-5e
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transformers
pytorch
deberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
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deberta-finetuned-answer-polarity-5e
This model is a fine-tuned version of
microsoft/deberta-large
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.5116
F1: 0.8572
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
364
0.5350
0.8208
0.1301
2.0
728
0.7435
0.7378
0.1716
3.0
1092
0.4829
0.8193
0.1716
4.0
1456
0.5184
0.8124
0.1455
5.0
1820
0.5116
0.8572
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
