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fr-camembert-base-finetuned

This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3301

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: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.2487 1.0 124 2.8169
2.6851 2.0 248 2.6374
2.6175 3.0 372 2.6431
2.5366 4.0 496 2.4475
2.4529 5.0 620 2.4647
2.4002 6.0 744 2.4846
2.3914 7.0 868 2.4187
2.3439 8.0 992 2.4819
2.2797 9.0 1116 2.3769
2.3065 10.0 1240 2.4536
2.2499 11.0 1364 2.4079
2.2254 12.0 1488 2.3755
2.218 13.0 1612 2.3189
2.2059 14.0 1736 2.3628
2.158 15.0 1860 2.4482
2.1871 16.0 1984 2.3020
2.154 17.0 2108 2.3485
2.1906 18.0 2232 2.4602
2.1853 19.0 2356 2.2482
2.1334 20.0 2480 2.3699

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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