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reactiongif-roberta

Text Classification
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roberta
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metadata
license: apache-2.0
tags:
  - generated-from-trainer
datasets:
  - julien-c/reactiongif
metrics:
  - accuracy
model-index:
  - name: model
    results:
      - task:
          name: Text Classification
          type: text-classification
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.2662102282047272

model

This model is a fine-tuned version of distilroberta-base on an unkown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9150
  • Accuracy: 0.2662

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
3.0528 0.44 1000 3.0265 0.2223
2.9836 0.89 2000 2.9263 0.2332
2.7409 1.33 3000 2.9041 0.2533
2.7905 1.77 4000 2.8763 0.2606
2.4359 2.22 5000 2.9072 0.2642
2.4507 2.66 6000 2.9230 0.2644

Framework versions

  • Transformers 4.7.0.dev0
  • Pytorch 1.8.1+cu102
  • Datasets 1.8.0
  • Tokenizers 0.10.3