V3_20230929-9-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: 0.5676
• Loss: 2.0981

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
4.2315	1.82	200	0.3075	3.5449
3.7193	3.64	400	0.3523	3.3756
3.4198	5.45	600	0.4110	2.9479
3.1022	7.27	800	0.395	3.2042
3.0348	9.09	1000	0.4456	2.7974
2.835	10.91	1200	0.4824	2.5239
2.8107	12.73	1400	0.4806	2.7012
2.716	14.55	1600	0.4909	2.4907
2.6889	16.36	1800	0.4924	2.6709
2.6396	18.18	2000	0.5155	2.3913
2.6088	20.0	2200	0.5676	2.0981

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.0