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deberta-v3-xsmall-finetuned-review_classifier – AI Model by domenicrosati | AlphaNeural AI
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deberta-v3-xsmall-finetuned-review_classifier
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transformers
pytorch
tensorboard
deberta-v2
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-xsmall-finetuned-review_classifier
This model is a fine-tuned version of
microsoft/deberta-v3-xsmall
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1441
Accuracy: 0.9513
F1: 0.7458
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: 4.5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1518
1.0
6667
0.1575
0.9510
0.7155
0.1247
2.0
13334
0.1441
0.9513
0.7458
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
