metadata

license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: roberta-base-comma-correction-classifier
    results: []

roberta-base-comma-correction-classifier

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

eval_loss: 0.2252
eval_accuracy: 0.9001
eval_runtime: 1.7436
eval_samples_per_second: 981.865
eval_steps_per_second: 15.485
epoch: 0.69
step: 1500

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: 64
eval_batch_size: 64
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: 3

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1