20231008-9-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: 0.5609
• Loss: 1.8042

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
3.0492	1.82	200	0.3888	2.6521
2.589	3.64	400	0.4582	2.4219
2.35	5.45	600	0.4440	2.5098
2.2866	7.27	800	0.4607	2.2587
2.1603	9.09	1000	0.5060	2.1101
2.0746	10.91	1200	0.5040	2.2520
1.9926	12.73	1400	0.5512	1.8800
1.9296	14.55	1600	0.5682	1.8248
1.9172	16.36	1800	0.56	1.9773
1.8996	18.18	2000	0.5735	1.8932
1.8936	20.0	2200	0.5609	1.8042

Framework versions

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