metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - big_patent
model-index:
  - name: bigbird-large-finetuned-big_patent
    results: []

bigbird-large-finetuned-big_patent

This model is a fine-tuned version of robingeibel/bigbird-large-finetuned-big_patent on the big_patent dataset. It achieves the following results on the evaluation set:

Loss: 1.0220

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
1.0776	1.0	80099	1.0220

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1