V2_20230929-3-xlm-roberta-base-new

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

• Accuracy: 0.5378
• Loss: 2.2727

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
4.3145	1.38	200	0.2955	3.8793
3.8469	2.76	400	0.3398	3.7082
3.4996	4.14	600	0.4110	3.1106
3.4055	5.52	800	0.3919	3.1465
3.1658	6.9	1000	0.4786	2.9087
3.1597	8.28	1200	0.4128	3.0067
2.9918	9.66	1400	0.4664	2.7497
2.8913	11.03	1600	0.4580	2.6409
2.8172	12.41	1800	0.4449	2.9132
2.9125	13.79	2000	0.5378	2.2727

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3