metadata

license: mit
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - f1
  - precision
  - recall
model-index:
  - name: deberta-v3-large-finetuned-syndag-multiclass-remove-google-scielo
    results: []

deberta-v3-large-finetuned-syndag-multiclass-remove-google-scielo

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0214
F1: 0.9967
Precision: 0.9967
Recall: 0.9967

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: 6e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall
0.0169	1.0	10771	0.0258	0.9943	0.9943	0.9943
0.0122	2.0	21542	0.0235	0.9956	0.9956	0.9956
0.0111	3.0	32313	0.0219	0.9964	0.9964	0.9964

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1