metadata

license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: Bert-political-classification
    results: []

Bert-political-classification

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4234
eval_accuracy: 0.8393
eval_f1: 0.6213
eval_precision: 0.6361
eval_recall: 0.6116
eval_runtime: 6.9231
eval_samples_per_second: 555.386
eval_steps_per_second: 34.811
step: 0

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: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Framework versions

Transformers 4.40.2
Pytorch 2.1.2
Tokenizers 0.19.1