metadata

tags:
  - generated_from_trainer
datasets:
  - null
model-index:
  - name: bert-base-multilingual-cased-urgency
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask

bert-base-multilingual-cased-urgency

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

Loss: 2.2797

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
4.1408	1.0	5659	3.6705
2.8777	2.0	11318	2.5536
2.561	3.0	16977	2.2740

Framework versions

Transformers 4.10.0
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3