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bigbird_mental2019_1_7option_3

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metadata
license: apache-2.0
base_model: augmdc/bigbird_mental2019_1
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bigbird_mental2019_1_7option_3
    results: []

bigbird_mental2019_1_7option_3

This model is a fine-tuned version of augmdc/bigbird_mental2019_1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7045
  • Accuracy: 0.3852

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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 98 1.8069 0.3673
No log 2.0 196 1.7888 0.2883
No log 3.0 294 1.7633 0.3673
No log 4.0 392 1.7045 0.3852

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3