metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
base_model: bert-base-uncased
model-index:
  - name: reproduce-unsup-bert-base-uncased-avg
    results: []

reproduce-unsup-bert-base-uncased-avg

This model is a fine-tuned version of bert-base-uncased on an unknown dataset.

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: 1e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1