README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - rotten_tomatoes
metrics:
  - accuracy
model-index:
  - name: test_trainer
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: rotten_tomatoes
          type: rotten_tomatoes
          config: default
          split: test
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.501

test_trainer

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

• Loss: 0.7153
• Accuracy: 0.501

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
• training_steps: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6412	0.01	1	0.7288	0.501
0.6171	0.02	2	0.7083	0.501
0.5805	0.02	3	0.7153	0.501

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3