readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: predict-perception-bert-cause-none
    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. -->
  
  # predict-perception-bert-cause-none
  
  This model is a fine-tuned version of [dbmdz/bert-base-italian-xxl-cased](https://huggingface.co/dbmdz/bert-base-italian-xxl-cased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6269
  - Rmse: 1.2763
  - Rmse Cause::a Spontanea, priva di un agente scatenante: 1.2763
  - Mae: 1.0431
  - Mae Cause::a Spontanea, priva di un agente scatenante: 1.0431
  - R2: -1.4329
  - R2 Cause::a Spontanea, priva di un agente scatenante: -1.4329
  - Cos: -0.3913
  - Pair: 0.0
  - Rank: 0.5
  - Neighbors: 0.3371
  - Rsa: nan
  
  ## 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: 1e-05
  - train_batch_size: 20
  - eval_batch_size: 8
  - seed: 1996
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rmse   | Rmse Cause::a Spontanea, priva di un agente scatenante | Mae    | Mae Cause::a Spontanea, priva di un agente scatenante | R2      | R2 Cause::a Spontanea, priva di un agente scatenante | Cos     | Pair | Rank | Neighbors | Rsa |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------------------------------------------------------:|:------:|:-----------------------------------------------------:|:-------:|:----------------------------------------------------:|:-------:|:----:|:----:|:---------:|:---:|
  | 0.994         | 1.0   | 15   | 0.7156          | 0.8465 | 0.8465                                                 | 0.7809 | 0.7809                                                | -0.0701 | -0.0701                                              | -0.1304 | 0.0  | 0.5  | 0.2971    | nan |
  | 0.9757        | 2.0   | 30   | 0.7096          | 0.8429 | 0.8429                                                 | 0.7666 | 0.7666                                                | -0.0611 | -0.0611                                              | 0.0435  | 0.0  | 0.5  | 0.2515    | nan |
  | 1.0086        | 3.0   | 45   | 0.7779          | 0.8825 | 0.8825                                                 | 0.7981 | 0.7981                                                | -0.1632 | -0.1632                                              | -0.0435 | 0.0  | 0.5  | 0.2899    | nan |
  | 0.9127        | 4.0   | 60   | 0.8158          | 0.9038 | 0.9038                                                 | 0.8171 | 0.8171                                                | -0.2199 | -0.2199                                              | -0.2174 | 0.0  | 0.5  | 0.2975    | nan |
  | 0.8555        | 5.0   | 75   | 0.7691          | 0.8775 | 0.8775                                                 | 0.8121 | 0.8121                                                | -0.1501 | -0.1501                                              | -0.2174 | 0.0  | 0.5  | 0.3299    | nan |
  | 0.8702        | 6.0   | 90   | 0.7818          | 0.8848 | 0.8848                                                 | 0.7781 | 0.7781                                                | -0.1691 | -0.1691                                              | 0.0435  | 0.0  | 0.5  | 0.2515    | nan |
  | 0.76          | 7.0   | 105  | 0.8377          | 0.9158 | 0.9158                                                 | 0.7985 | 0.7985                                                | -0.2526 | -0.2526                                              | 0.0435  | 0.0  | 0.5  | 0.2515    | nan |
  | 0.6997        | 8.0   | 120  | 0.9065          | 0.9527 | 0.9527                                                 | 0.8370 | 0.8370                                                | -0.3555 | -0.3555                                              | -0.2174 | 0.0  | 0.5  | 0.3147    | nan |
  | 0.5963        | 9.0   | 135  | 1.0611          | 1.0308 | 1.0308                                                 | 0.8396 | 0.8396                                                | -0.5867 | -0.5867                                              | -0.0435 | 0.0  | 0.5  | 0.2645    | nan |
  | 0.5413        | 10.0  | 150  | 1.1724          | 1.0835 | 1.0835                                                 | 0.8649 | 0.8649                                                | -0.7532 | -0.7532                                              | -0.0435 | 0.0  | 0.5  | 0.2645    | nan |
  | 0.4994        | 11.0  | 165  | 1.1471          | 1.0717 | 1.0717                                                 | 0.8857 | 0.8857                                      