metadata

license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: Finetuned-Roberta-Base-Sentiment-classifier
    results: []

Finetuned-Roberta-Base-Sentiment-classifier

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

Loss: 0.8100
F1: 0.6407

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.8752	0.5	500	0.8068	0.6412
0.831	1.0	1000	0.8182	0.6421
0.859	1.5	1500	0.8009	0.6430
0.7984	2.01	2000	0.8098	0.6403
0.7948	2.51	2500	0.8100	0.6407

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3