metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - ag_news
metrics:
  - accuracy
model_index:
  - name: distilbert-base-uncased-agnews
    results:
      - dataset:
          name: ag_news
          type: ag_news
          args: default
        metric:
          name: Accuracy
          type: accuracy
          value: 0.9473684210526315

distilbert-base-uncased-agnews

This model is a fine-tuned version of distilbert-base-uncased on the ag_news dataset. It achieves the following results on the evaluation set:

Loss: 0.1652
Accuracy: 0.9474

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: 3e-05
train_batch_size: 32
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: 1000
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1916	1.0	3375	0.1741	0.9412
0.123	2.0	6750	0.1631	0.9483

Framework versions

Transformers 4.8.2
Pytorch 1.8.1+cu111
Datasets 1.8.0
Tokenizers 0.10.3