sentiment_model

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

• Loss: 0.9100
• Accuracy: 0.7233
• F1: 0.7224

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.8162	1.0	125	0.7315	0.6667	0.6603
0.1307	2.0	250	0.9100	0.7233	0.7224

Framework versions

• Transformers 4.44.2
• Pytorch 2.3.0+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1