finetuning-sentiment-model-news-2

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:

• eval_loss: 0.5041
• eval_model_preparation_time: 0.0045
• eval_accuracy: 0.8886
• eval_precision: 0.8943
• eval_recall: 0.8886
• eval_f1: 0.8902
• eval_runtime: 7.1419
• eval_samples_per_second: 334.365
• eval_steps_per_second: 21.003
• step: 0

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.44.1
• Pytorch 2.4.1
• Datasets 2.19.1
• Tokenizers 0.19.1