20231008-5-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: 0.5614
• Loss: 1.9964

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
2.9949	1.82	200	0.3868	2.5810
2.5887	3.64	400	0.4463	2.5529
2.3369	5.45	600	0.4665	2.4076
2.2815	7.27	800	0.5133	2.2435
2.1494	9.09	1000	0.5	2.1755
2.0746	10.91	1200	0.5523	1.9893
1.9617	12.73	1400	0.5648	1.8462
1.9549	14.55	1600	0.5392	1.8725
1.9192	16.36	1800	0.5605	2.0018
1.8967	18.18	2000	0.6077	1.7557
1.899	20.0	2200	0.5614	1.9964

Framework versions

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