20231005-7-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: 0.5772
• Loss: 1.7150

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
2.874	1.82	200	0.4369	2.5306
2.4348	3.64	400	0.4769	2.3597
2.2095	5.45	600	0.5075	2.1530
2.0581	7.27	800	0.54	1.9225
1.9638	9.09	1000	0.5374	1.9407
1.8751	10.91	1200	0.5792	1.7523
1.8096	12.73	1400	0.5839	1.9942
1.7306	14.55	1600	0.6185	1.6402
1.699	16.36	1800	0.5956	1.7014
1.6946	18.18	2000	0.5679	1.8545
1.6581	20.0	2200	0.5772	1.7150

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1