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bert-base-french-europeana-cased

This model is a fine-tuned version of bert-base-french-europeana-cased on a manually created dataset. It achieves the following results on the evaluation set:

  • Loss: 1.21
  • Accuracy: 0.85

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
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
4.2 1.0 47 4.15156 0.174
...
1.216 10 490 1.2586 0.856

How to use

from transformers import pipeline, AutoTokenizer

model_checkpoint = "dbmdz/bert-base-french-europeana-cased"
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, use_fast=True)
model= "rasta/proverbes-french-IFT-7022"

generator = pipeline(task="fill-mask", model=model, tokenizer=tokenizer)

sentence = 'quand la poire est m没re, elle [MASK]'
results = generator(sentence)

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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