readme: ---
  license: cc-by-nc-4.0
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: Basque_Dialects_Classification
    results: []
  widget:
  - text: "Gaur eskolara etorri naiz"
    example_title: "Example 1"
  - text: "Gaur eskolara etorri naz"
    example_title: "Example 2"
  ---
  
  <!-- 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. -->
  
  # Basque_Dialects_Classification
  
  This model is a fine-tuned version of [ixa-ehu/roberta-eus-cc100-base-cased](https://huggingface.co/ixa-ehu/roberta-eus-cc100-base-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4558
  - F1: 0.6846
  
  ## 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: 7.2193610624691235e-06
  - train_batch_size: 1
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 0.7
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | F1     |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|
  | 1.4126        | 1.0   | 9611  | 1.4626          | 0.5893 |
  | 1.3446        | 2.0   | 19222 | 1.5642          | 0.6421 |
  | 1.0157        | 3.0   | 28833 | 1.5049          | 0.6596 |
  | 1.3012        | 4.0   | 38444 | 1.4939          | 0.6708 |
  | 1.0824        | 5.0   | 48055 | 1.4558          | 0.6846 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  