scenario-KD-PR-MSV-D2_data-massive005_all_1_1_alpha

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

• Loss: 2.4706
• Accuracy: 0.7441
• F1: 0.6687

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: 32
• eval_batch_size: 32
• seed: 1123
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7373	5.45	5000	3.2925	0.6907	0.6088
0.4747	10.89	10000	2.9215	0.7169	0.6377
0.3663	16.34	15000	2.6352	0.7338	0.6518
0.3178	21.79	20000	2.5132	0.7420	0.6654
0.2902	27.23	25000	2.4706	0.7441	0.6687

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.1+cu121
• Datasets 2.14.5
• Tokenizers 0.13.3