readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: electra-large_basetags_5k_6_p3
    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. -->
  
  # electra-large_basetags_5k_6_p3
  
  This model is a fine-tuned version of [model_saves/electra-large_basetags_5k_6_p2](https://huggingface.co/model_saves/electra-large_basetags_5k_6_p2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4365
  - Accuracy: 0.9393
  
  ## 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: 128
  - eval_batch_size: 128
  - seed: 92
  - distributed_type: multi-GPU
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: constant
  - num_epochs: 15.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 268  | 0.4365          | 0.9393   |
  | No log        | 2.0   | 536  | 0.4489          | 0.9384   |
  | No log        | 3.0   | 804  | 0.4752          | 0.9385   |
  | 0.3207        | 4.0   | 1072 | 0.4972          | 0.9373   |
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  