readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - wer
  model-index:
  - name: FPT-P3-23000
    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. -->
  
  # FPT-P3-23000
  
  This model is a fine-tuned version of [HuyenNguyen/FPT-P3-15000](https://huggingface.co/HuyenNguyen/FPT-P3-15000) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3727
  - Wer: 31.4391
  
  ## 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: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - training_steps: 1000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Wer     |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | 0.2922        | 0.4   | 200  | 0.3976          | 31.9574 |
  | 0.3445        | 0.8   | 400  | 0.3981          | 21.0180 |
  | 0.2742        | 1.2   | 600  | 0.3975          | 31.7631 |
  | 0.251         | 1.6   | 800  | 0.3820          | 31.2911 |
  | 0.2222        | 2.0   | 1000 | 0.3727          | 31.4391 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  