distilbert-base-multilingual-cased-Confusion_mlm-20230610

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: 0.5125
• Loss: 2.0564

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	130	0.5301	1.9624
No log	2.0	260	0.4876	2.0142
No log	3.0	390	0.5203	2.0986
2.0509	4.0	520	0.5692	1.9098
2.0509	5.0	650	0.5460	1.9322
2.0509	6.0	780	0.5371	2.0830
2.0509	7.0	910	0.5343	2.0515
1.856	8.0	1040	0.5339	1.8678
1.856	9.0	1170	0.5823	1.7815
1.856	10.0	1300	0.5125	2.0564

Framework versions

• Transformers 4.30.1
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3