readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: roberta_large-chunking_0811_v7
    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. -->
  
  # roberta_large-chunking_0811_v7
  
  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3687
  - Precision: 0.8237
  - Recall: 0.8406
  - F1: 0.8320
  - Accuracy: 0.9134
  
  ## 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: 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: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 0.1929        | 1.0   | 1249 | 0.4165          | 0.8034    | 0.8191 | 0.8112 | 0.9047   |
  | 0.0789        | 2.0   | 2498 | 0.4161          | 0.8262    | 0.8363 | 0.8312 | 0.9088   |
  | 0.0319        | 3.0   | 3747 | 0.5684          | 0.8104    | 0.8380 | 0.8240 | 0.9037   |
  | 0.0198        | 4.0   | 4996 | 0.6959          | 0.8237    | 0.8433 | 0.8334 | 0.9067   |
  | 0.0098        | 5.0   | 6245 | 0.7280          | 0.8234    | 0.8453 | 0.8342 | 0.9084   |
  | 0.0075        | 6.0   | 7494 | 0.7482          | 0.8259    | 0.8482 | 0.8369 | 0.9075   |
  | 0.0041        | 7.0   | 8743 | 0.7807          | 0.8396    | 0.8527 | 0.8461 | 0.9113   |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  