metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
model-index:
  - name: pr_dataset_metadata
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: imdb
          type: imdb
          config: plain_text
          split: test
          args: plain_text
        metrics:
          - name: eval_accuracy
            type: accuracy
            value: 1

pr_dataset_metadata

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

eval_loss: 0.6216
eval_accuracy: 1.0
eval_runtime: 0.4472
eval_samples_per_second: 2.236
eval_steps_per_second: 2.236
step: 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: 16
eval_batch_size: 16
seed: 42
distributed_type: not_parallel
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.21.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.0.0
Tokenizers 0.12.1