Bert-MLM-fine-tuned-model

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: 1.0875

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: 16
• 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	2602	1.2972
No log	2.0	5204	1.2412
No log	3.0	7806	1.2068
No log	4.0	10408	1.1855
No log	5.0	13010	1.1598
No log	6.0	15612	1.1328
No log	7.0	18214	1.1244
No log	8.0	20816	1.1161
No log	9.0	23418	1.1013
No log	10.0	26020	1.0875

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2