README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
base_model: distilbert-base-uncased-finetuned-sst-2-english
model-index:
  - name: distilbert-base-uncased-finetuned-sst-2-english-finetuned-imdb
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: imdb
          type: imdb
          args: plain_text
        metrics:
          - type: accuracy
            value: 0.93032
            name: Accuracy

distilbert-base-uncased-finetuned-sst-2-english-finetuned-imdb

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the imdb dataset. It achieves the following results on the evaluation set:

• Loss: 0.2165
• Accuracy: 0.9303

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2749	1.0	3125	0.2165	0.9303

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.0