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deberta-v3-xsmall-with-biblio-context-frozenlm-finetuned-review_classifier – AI Model by domenicrosati | AlphaNeural AI
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domenicrosati
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deberta-v3-xsmall-with-biblio-context-frozenlm-finetuned-review_classifier
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transformers
pytorch
deberta-v2
text-classification
generated_from_trainer
mit
endpoints_compatible
us
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deberta-v3-xsmall-with-biblio-context-frozenlm-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: 0.3109
Accuracy: 0.9066
F1: 0.0090
Recall: 0.0045
Precision: 0.8293
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
Recall
Precision
0.2938
1.0
6667
0.3103
0.9070
0.0221
0.0112
0.7636
0.2851
2.0
13334
0.3109
0.9066
0.0090
0.0045
0.8293
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1
