readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: albert-xxlarge-v2-finetuned-Poems
    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. -->
  
  # albert-xxlarge-v2-finetuned-Poems
  
  This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1923
  
  ## 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: 2e-07
  - 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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.482         | 1.0   | 19375 | 2.2959          |
  | 2.258         | 2.0   | 38750 | 2.2357          |
  | 2.2146        | 3.0   | 58125 | 2.2085          |
  | 2.1975        | 4.0   | 77500 | 2.1929          |
  | 2.1893        | 5.0   | 96875 | 2.1863          |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  