robingeibel's picture
update model card README.md
6d987af
|
raw
history blame
1.38 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - big_patent
model-index:
  - name: bigbird-base-finetuned-big_patent
    results: []

bigbird-base-finetuned-big_patent

This model is a fine-tuned version of google/bigbird-roberta-base on the big_patent dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0933

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.1797 1.0 154482 1.0933

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1