longformer_quail

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

  • eval_loss: 1.9568
  • eval_accuracy: 0.5791
  • eval_runtime: 44.254
  • eval_samples_per_second: 12.564
  • eval_steps_per_second: 6.282
  • epoch: 4.0
  • step: 816

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 25
  • total_train_batch_size: 50
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Framework versions

  • Transformers 4.21.3
  • Pytorch 1.12.1
  • Datasets 2.5.1
  • Tokenizers 0.11.0
Downloads last month
7
Inference API
Inference API (serverless) does not yet support transformers models for this pipeline type.

Dataset used to train Shaier/longformer_quail