MAL-10epoch-BertMul

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3481
• Accuracy: 0.6207

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: 10
• eval_batch_size: 10
• 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	Validation Loss	Accuracy
No log	1.0	9	1.2016	0.4310
No log	2.0	18	1.1152	0.6897
No log	3.0	27	1.2304	0.6379
No log	4.0	36	1.2419	0.5345
No log	5.0	45	1.2358	0.6552
No log	6.0	54	1.3296	0.5517
No log	7.0	63	1.3836	0.6034
No log	8.0	72	1.3849	0.6034
No log	9.0	81	1.3630	0.6034
No log	10.0	90	1.3481	0.6207

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 1.13.1
• Datasets 2.14.5
• Tokenizers 0.14.1