readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: ES_roberta_40
    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. -->
  
  # ES_roberta_40
  
  This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Exact Match: 70.0
  - F1: 78.1647
  - Loss: 1.1462
  
  ## 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: 3e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Exact Match | F1      | Validation Loss |
  |:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
  | No log        | 1.0   | 307  | 66.6667     | 75.2290 | 1.0590          |
  | 0.7813        | 2.0   | 614  | 68.3333     | 76.8452 | 0.9069          |
  | 0.7813        | 3.0   | 921  | 70.0        | 78.1647 | 1.1462          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  