readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: camembert-base-finetuned-ft750_reg2
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # camembert-base-finetuned-ft750_reg2
  
  This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6449
  - Mse: 0.6449
  - Mae: 0.6171
  - R2: 0.3929
  - Accuracy: 0.504
  
  ## 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: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
  | 0.6283        | 1.0   | 750  | 0.6074          | 0.6074 | 0.6086 | 0.4282 | 0.4887   |
  | 0.5007        | 2.0   | 1500 | 0.6449          | 0.6449 | 0.6171 | 0.3929 | 0.504    |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  