metadata

base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: text-message-analyzer-finetuned
    results: []

text-message-analyzer-finetuned

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

Loss: 0.1048
Accuracy: 0.9587

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: 15
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1972	1.0	935	0.1048	0.9587

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1