20231008-2-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: 0.5483
• Loss: 1.8877

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
2.9855	1.82	200	0.3753	2.6688
2.5641	3.64	400	0.436	2.2769
2.385	5.45	600	0.4970	2.3584
2.2444	7.27	800	0.5095	1.9800
2.1422	9.09	1000	0.5072	2.1302
2.0398	10.91	1200	0.5717	1.9107
2.0215	12.73	1400	0.5435	1.9803
1.9611	14.55	1600	0.5678	1.9622
1.928	16.36	1800	0.5253	1.9510
1.8712	18.18	2000	0.5711	1.6620
1.8322	20.0	2200	0.5483	1.8877

Framework versions

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