Manikks/twitter-roberta-base-sentiment-latest

twitter-roberta-sentiment

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: 0.4797
• Accuracy: 0.913

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4161	1.0	1500	0.4054	0.8823
0.2553	2.0	3000	0.4584	0.9023
0.1458	3.0	4500	0.4797	0.913

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1+cpu
• Datasets 2.19.1
• Tokenizers 0.21.0