metadata

license: mit
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
  - precision
model-index:
  - name: deberta-v3-xsmall-with-biblio-context-frozenlm-finetuned-review_classifier
    results: []

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