token-classification-llmlingua2-m_bert-bctn-173_sample-10_epoch

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: 0.6145

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: 1e-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	Validation Loss
No log	1.0	18	0.6277
No log	2.0	36	0.6145
No log	3.0	54	0.6270
No log	4.0	72	0.6265
No log	5.0	90	0.6324
No log	6.0	108	0.6346
No log	7.0	126	0.6193
No log	8.0	144	0.6174
No log	9.0	162	0.6266
No log	10.0	180	0.6259

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2