20231005-5-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: 0.5942
• Loss: 1.8864

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
2.957	1.82	200	0.425	2.5896
2.5005	3.64	400	0.4635	2.2940
2.2966	5.45	600	0.5036	2.2117
2.1629	7.27	800	0.5118	2.0541
2.0612	9.09	1000	0.4856	2.2364
1.9424	10.91	1200	0.5486	1.9967
1.9329	12.73	1400	0.5419	1.8949
1.8239	14.55	1600	0.5849	1.7429
1.7774	16.36	1800	0.6025	1.6645
1.756	18.18	2000	0.5817	1.8334
1.7246	20.0	2200	0.5942	1.8864

Framework versions

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