longformer_openbook / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: longformer_openbook
    results: []

longformer_openbook

This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7773
  • Accuracy: 0.71

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 25
  • total_train_batch_size: 100
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.99 49 0.8618 0.662
No log 1.99 98 0.7773 0.71

Framework versions

  • Transformers 4.21.3
  • Pytorch 1.12.1
  • Datasets 2.5.1
  • Tokenizers 0.11.0