demo-ossbert-sh

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

• Loss: 1.5184

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.4	200	2.3589
No log	0.8	400	2.1107
No log	1.2	600	1.9765
No log	1.6	800	1.8851
No log	2.0	1000	1.7729
No log	2.4	1200	1.7224
No log	2.8	1400	1.6518
No log	3.2	1600	1.6318
No log	3.6	1800	1.5938
No log	4.0	2000	1.5648
No log	4.4	2200	1.5412
No log	4.8	2400	1.5184

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1