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microsoft-deberta-v3-large_cls_subj – AI Model by Gladiator | AlphaNeural AI
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Gladiator
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microsoft-deberta-v3-large_cls_subj
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transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
SetFit/subj
mit
autotrain_compatible
endpoints_compatible
us
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microsoft-deberta-v3-large_cls_subj
This model is a fine-tuned version of
microsoft/deberta-v3-large
on
subj
dataset. It achieves the following results on the evaluation set:
Loss: 0.1525
Accuracy: 0.976
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2629
1.0
500
0.1519
0.955
0.1232
2.0
1000
0.1121
0.974
0.0535
3.0
1500
0.1341
0.974
0.0152
4.0
2000
0.1794
0.969
0.0043
5.0
2500
0.1525
0.976
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
