metadata

license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: Covid_Vaccine_Sentiment_Analysis_Roberta_Model
    results: []

Covid_Vaccine_Sentiment_Analysis_Roberta_Model

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

Loss: 0.6517

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
0.7773	0.5	500	0.7515
0.755	1.0	1000	0.6408
0.6406	1.5	1500	0.6199
0.6047	2.0	2000	0.5906
0.4643	2.5	2500	0.6549
0.4451	3.0	3000	0.6517

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3