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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - recall
model-index:
  - name: camembert-base-finetuned-LineCause
    results: []

camembert-base-finetuned-LineCause

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

  • Loss: 0.0001
  • Accuracy: 1.0
  • F1: 1.0
  • Recall: 1.0

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: 50
  • eval_batch_size: 50
  • 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 Recall
0.0428 1.0 4409 0.0002 1.0 1.0 1.0
0.0009 2.0 8818 0.0001 1.0 1.0 1.0

Framework versions

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