readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: neuroscience-to-dev-bio-5
    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. -->
  
  # neuroscience-to-dev-bio-5
  
  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0170
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 128
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 100
  - num_epochs: 5000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 19.0123       | 0.98  | 8    | 17.3893         |
  | 16.2978       | 1.98  | 16   | 14.4660         |
  | 13.2877       | 2.98  | 24   | 11.8149         |
  | 12.016        | 3.98  | 32   | 10.7524         |
  | 10.9473       | 4.98  | 40   | 9.3172          |
  | 9.5556        | 5.98  | 48   | 7.3381          |
  | 7.6993        | 6.98  | 56   | 5.8158          |
  | 6.5798        | 7.98  | 64   | 5.1533          |
  | 5.8632        | 8.98  | 72   | 4.6010          |
  | 5.2411        | 9.98  | 80   | 4.0297          |
  | 4.5648        | 10.98 | 88   | 3.3842          |
  | 3.7885        | 11.98 | 96   | 2.6418          |
  | 2.9055        | 12.98 | 104  | 1.8169          |
  | 1.9604        | 13.98 | 112  | 1.0384          |
  | 1.1051        | 14.98 | 120  | 0.4906          |
  | 0.5087        | 15.98 | 128  | 0.2180          |
  | 0.2096        | 16.98 | 136  | 0.1062          |
  | 0.0906        | 17.98 | 144  | 0.0560          |
  | 0.0417        | 18.98 | 152  | 0.0277          |
  | 0.0223        | 19.98 | 160  | 0.0210          |
  | 0.0158        | 20.98 | 168  | 0.0186          |
  | 0.0121        | 21.98 | 176  | 0.0222          |
  | 0.0091        | 22.98 | 184  | 0.0176          |
  | 0.0077        | 23.98 | 192  | 0.0159          |
  | 0.0071        | 24.98 | 200  | 0.0160          |
  | 0.0062        | 25.98 | 208  | 0.0143          |
  | 0.006         | 26.98 | 216  | 0.0138          |
  | 0.005         | 27.98 | 224  | 0.0152          |
  | 0.0045        | 28.98 | 232  | 0.0152          |
  | 0.0224        | 29.98 | 240  | 0.0143          |
  | 0.0065        | 30.98 | 248  | 0.0187          |
  | 0.0095        | 31.98 | 256  | 0.0181          |
  | 0.0126        | 32.98 | 264  | 0.0167          |
  | 0.0789        | 33.98 | 272  | 0.0373          |
  | 0.5145        | 34.98 | 280  | 0.0170          |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  