README.md

metadata

language:
  - en
license: other
base_model: facebook/opt-125m
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model-index:
  - name: opt-125m-boolq
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE BOOLQ
          type: glue
          args: boolq
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.690519877675841

opt-125m-boolq

This model is a fine-tuned version of facebook/opt-125m on the GLUE BOOLQ dataset. It achieves the following results on the evaluation set:

• Loss: 2.0177
• Accuracy: 0.6905

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.18.0
• Tokenizers 0.13.3