XMLRoberta_Dataset9kMeta

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

• Loss: 0.2475
• Accuracy: 0.9498
• F1: 0.9499

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.6461	200	0.2426	0.9319	0.9192
0.4716	3.2922	400	0.2306	0.9226	0.9152
0.1801	4.9383	600	0.2223	0.9464	0.9457
0.118	6.5844	800	0.2062	0.9498	0.9492
0.0819	8.2305	1000	0.2399	0.9498	0.9504
0.0819	9.8765	1200	0.2475	0.9498	0.9499

Framework versions

• Transformers 4.43.1
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1