Clody0071's picture
update model card README.md
5492420
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - pawsx
metrics:
  - accuracy
  - f1
model-index:
  - name: distilbert-base-multilingual-cased-finetuned-similarite
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: pawsx
          type: pawsx
          args: fr
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7995
          - name: F1
            type: f1
            value: 0.7994565743967147

distilbert-base-multilingual-cased-finetuned-similarite

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

  • Loss: 0.4781
  • Accuracy: 0.7995
  • F1: 0.7995

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.5343 1.0 772 0.4879 0.7705 0.7714
0.3523 2.0 1544 0.4781 0.7995 0.7995

Framework versions

  • Transformers 4.19.3
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1