readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: madatnlp/rob-large-krmath2
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # madatnlp/rob-large-krmath2
  
  This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.0707
  - Validation Loss: 0.2571
  - Epoch: 17
  
  ## 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:
  - optimizer: {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Epoch |
  |:----------:|:---------------:|:-----:|
  | 1.7479     | 1.5215          | 0     |
  | 1.1286     | 0.7513          | 1     |
  | 1.2498     | 0.9242          | 2     |
  | 1.0213     | 0.7140          | 3     |
  | 0.8002     | 0.6080          | 4     |
  | 0.5895     | 0.3721          | 5     |
  | 0.4699     | 0.3392          | 6     |
  | 0.3064     | 0.2599          | 7     |
  | 0.2803     | 0.2360          | 8     |
  | 0.2162     | 0.3075          | 9     |
  | 0.1878     | 0.2652          | 10    |
  | 0.1635     | 0.1618          | 11    |
  | 0.1342     | 0.1061          | 12    |
  | 0.1058     | 0.2906          | 13    |
  | 0.0869     | 0.3535          | 14    |
  | 0.0704     | 0.2090          | 15    |
  | 0.0608     | 0.1777          | 16    |
  | 0.0707     | 0.2571          | 17    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - TensorFlow 2.8.2
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  