metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - accuracy
model_index:
  - name: rte
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE RTE
          type: glue
          args: rte
        metric:
          name: Accuracy
          type: accuracy
          value: 0.6859205776173285

rte

This model is a fine-tuned version of albert-base-v2 on the GLUE RTE dataset. It achieves the following results on the evaluation set:

Loss: 0.7994
Accuracy: 0.6859

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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Framework versions

Transformers 4.9.0
Pytorch 1.9.0+cu102
Datasets 1.10.2
Tokenizers 0.10.3