20231008-3-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: 0.5585
• Loss: 1.8969

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
3.0355	1.82	200	0.3649	2.5361
2.5432	3.64	400	0.4264	2.4729
2.3986	5.45	600	0.4748	2.1543
2.2755	7.27	800	0.5533	1.9309
2.1743	9.09	1000	0.5165	2.1052
2.1152	10.91	1200	0.5307	2.0024
1.9368	12.73	1400	0.5820	1.7487
1.989	14.55	1600	0.5507	1.9093
1.8819	16.36	1800	0.5835	1.6382
1.8822	18.18	2000	0.5873	1.7373
1.8628	20.0	2200	0.5585	1.8969

Framework versions

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