README.md

metadata

license: agpl-3.0
tags:
  - generated_from_trainer
datasets:
  - nyu-mll/glue
metrics:
  - accuracy
base_model: vesteinn/XLMR-ENIS
model-index:
  - name: XLMR-ENIS-finetuned-sst2
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: glue
          type: glue
          args: sst2
        metrics:
          - type: accuracy
            value: 0.9277522935779816
            name: Accuracy

XLMR-ENIS-finetuned-sst2

This model is a fine-tuned version of vesteinn/XLMR-ENIS on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.3781
• Accuracy: 0.9278

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: 16
• 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
0.0675	1.0	4210	0.3781	0.9278

Framework versions

• Transformers 4.11.0
• Pytorch 1.9.0+cu102
• Datasets 1.12.1
• Tokenizers 0.10.3