20231008-4-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: 0.6336
• Loss: 1.6836

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
2.9921	1.82	200	0.4005	2.6163
2.5551	3.64	400	0.4392	2.3236
2.3073	5.45	600	0.4470	2.5807
2.2161	7.27	800	0.4988	2.2248
2.1575	9.09	1000	0.5249	2.0541
2.0626	10.91	1200	0.4914	2.2755
1.9948	12.73	1400	0.4894	2.1453
1.9417	14.55	1600	0.5041	2.0137
1.8983	16.36	1800	0.5310	1.8913
1.8788	18.18	2000	0.5364	1.8624
1.8485	20.0	2200	0.6336	1.6836

Framework versions

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