bert-base-multilingual-cased-finetuned-squad

This model is a fine-tuned version of bert-base-multilingual-cased on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 1.0105

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.0094	1.0	5555	0.9460
0.7542	2.0	11110	0.9429
0.5506	3.0	16665	1.0105

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1