xlm-roberta-reddit-5

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

• Loss: 0.4454
• Accuracy: 0.8677
• F1: 0.8380
• Precision: 0.8594
• Recall: 0.8353

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: 2e-05
• train_batch_size: 12
• eval_batch_size: 12
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	74	1.0770	0.5185	0.3072	0.2694	0.3933
No log	2.0	148	0.8862	0.6667	0.4737	0.4204	0.5580
No log	3.0	222	0.6454	0.7143	0.5819	0.7749	0.6237
No log	4.0	296	0.4804	0.8360	0.7701	0.8185	0.7899
No log	5.0	370	0.4454	0.8677	0.8380	0.8594	0.8353

Framework versions

• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.4.0
• Tokenizers 0.21.1