metadata

language:
  - en
license: apache-2.0
base_model: sileod/deberta-v3-base-tasksource-nli
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: results
    results: []

results

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

Loss: 0.0000
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 1.0

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Framework versions

Transformers 4.38.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.2