metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: infoquality
    results: []

infoquality

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0974
Accuracy: 0.9718

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 128

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2596	0.02	128	0.0974	0.9718

Framework versions

Transformers 4.32.1
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3