swe-xlm-asym-lr-3e-5

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: 0.0730
• F1-micro: 0.6568
• F1-macro: 0.4232

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 23
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1-micro	F1-macro
0.1214	1.0	60	0.0926	0.4886	0.3553
0.0896	2.0	120	0.0764	0.6444	0.4031
0.078	3.0	180	0.0746	0.6487	0.4175
0.0711	4.0	240	0.0730	0.6568	0.4232

Framework versions

• Transformers 4.48.1
• Pytorch 2.4.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0