readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: deberta-v3-base-lm-all
    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. -->
  
  # deberta-v3-base-lm-all
  
  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0354
  
  ## 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: 5e-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
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 3.3663        | 1.0   | 2388  | 2.2002          |
  | 2.1379        | 2.0   | 4776  | 1.8135          |
  | 1.8234        | 3.0   | 7164  | 1.6199          |
  | 1.623         | 4.0   | 9552  | 1.5031          |
  | 1.4936        | 5.0   | 11940 | 1.4027          |
  | 1.4034        | 6.0   | 14328 | 1.3346          |
  | 1.3214        | 7.0   | 16716 | 1.2927          |
  | 1.2618        | 8.0   | 19104 | 1.2377          |
  | 1.2113        | 9.0   | 21492 | 1.2043          |
  | 1.1595        | 10.0  | 23880 | 1.1843          |
  | 1.1082        | 11.0  | 26268 | 1.1174          |
  | 1.0712        | 12.0  | 28656 | 1.1071          |
  | 1.0468        | 13.0  | 31044 | 1.0723          |
  | 1.0209        | 14.0  | 33432 | 1.0741          |
  | 0.99          | 15.0  | 35820 | 1.0456          |
  | 0.9733        | 16.0  | 38208 | 1.0354          |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  