README.md

metadata

license: apache-2.0
tags:
  - text-classification
  - generated_from_trainer
datasets:
  - xnli
metrics:
  - accuracy
base_model: bert-base-multilingual-cased
model-index:
  - name: xnli_m_bert_only_de
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: xnli
          type: xnli
          config: de
          split: train
          args: de
        metrics:
          - type: accuracy
            value: 0.7562248995983936
            name: Accuracy

xnli_m_bert_only_de

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

• Loss: 1.1207
• Accuracy: 0.7562

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1041	1.0	3068	1.1207	0.7562

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0
• Datasets 2.6.1
• Tokenizers 0.13.1