20231005-3-bert-base-multilingual-cased-new

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

• Accuracy: 0.6077
• Loss: 1.7371

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
2.9237	1.82	200	0.4526	2.4628
2.3796	3.64	400	0.4668	2.4166
2.2074	5.45	600	0.5011	2.1639
2.1154	7.27	800	0.5333	1.9224
1.9577	9.09	1000	0.5607	1.8915
1.8846	10.91	1200	0.6009	1.5682
1.8251	12.73	1400	0.6024	1.6171
1.7344	14.55	1600	0.5923	1.6795
1.7236	16.36	1800	0.6191	1.5585
1.7099	18.18	2000	0.6241	1.6113
1.6309	20.0	2200	0.6077	1.7371

Framework versions

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