my_test_model

This model is a fine-tuned version of siebert/sentiment-roberta-large-english on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2097
• Accuracy: 0.5209

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
0.6541	1.0	3044	1.0627	0.5209
0.6093	2.0	6088	1.2023	0.5209
0.5841	3.0	9132	1.2097	0.5209

Framework versions

• Transformers 4.50.0.dev0
• Pytorch 2.8.0.dev20250318
• Datasets 3.3.2
• Tokenizers 0.21.0