results_new

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: 0.2442

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: 1.2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 7
• 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
No log	1.0	74	0.3405
No log	2.0	148	0.2712
No log	3.0	222	0.2448
No log	4.0	296	0.2726
No log	5.0	370	0.2438
No log	6.0	444	0.2408
0.3958	7.0	518	0.2350
0.3958	8.0	592	0.2474
0.3958	9.0	666	0.2354
0.3958	10.0	740	0.2442

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1