xlm-roberta-base-lora-text-classification

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

• Loss: 0.5536
• Accuracy: {'accuracy': 0.8980555555555556}

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: 0.001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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
0.4165	1.0	3600	0.4468	{'accuracy': 0.895}
0.5475	2.0	7200	0.4904	{'accuracy': 0.8897222222222222}
0.5878	3.0	10800	0.4564	{'accuracy': 0.8986111111111111}
0.6508	4.0	14400	0.4560	{'accuracy': 0.8916666666666667}
0.5914	5.0	18000	0.5437	{'accuracy': 0.8883333333333333}
0.5927	6.0	21600	0.5986	{'accuracy': 0.8841666666666667}
0.6044	7.0	25200	0.6523	{'accuracy': 0.8791666666666667}
0.6249	8.0	28800	0.6199	{'accuracy': 0.8833333333333333}
0.5427	9.0	32400	0.5363	{'accuracy': 0.8969444444444444}
0.5724	10.0	36000	0.5536	{'accuracy': 0.8980555555555556}

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3