metadata

license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
base_model: roberta-base
model-index:
  - name: Goodreads_Books_Reviews_Roberta_53
    results: []

Goodreads_Books_Reviews_Roberta_53

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8038
F1: 0.6238
Accuracy: 0.6614

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: 32
eval_batch_size: 32
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.8378	1.0	25313	0.8197	0.6092	0.6538
0.7683	2.0	50626	0.8038	0.6238	0.6614

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1