README.md

metadata

license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
model-index:
  - name: bert-base-cased_for_sentiment_analysis
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: imdb
          type: imdb
          config: plain_text
          split: test
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.874

bert-base-cased_for_sentiment_analysis

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

• Loss: 0.6286
• Accuracy: 0.874

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: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	0.3699	0.847
No log	2.0	250	0.4779	0.859
No log	3.0	375	0.6286	0.874

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cpu
• Datasets 2.14.7
• Tokenizers 0.14.1