20231008-10-distilbert-base-multilingual-cased-new

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

• Accuracy: 0.6026
• Loss: 1.8350

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
3.0584	1.82	200	0.3419	2.8695
2.5725	3.64	400	0.4167	2.5994
2.3538	5.45	600	0.4714	2.3281
2.2078	7.27	800	0.4617	2.4474
2.1174	9.09	1000	0.5062	2.2134
2.0354	10.91	1200	0.5208	2.1015
2.0026	12.73	1400	0.4932	2.0366
1.9121	14.55	1600	0.5892	1.7582
1.903	16.36	1800	0.5332	2.0146
1.8417	18.18	2000	0.5442	1.9231
1.8791	20.0	2200	0.6026	1.8350

Framework versions

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