readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: neuroscience-to-dev-bio-4
    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-4
  
  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: 0.0211
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 18.5056       | 0.97  | 8    | 18.2694         |
  | 15.7993       | 1.97  | 16   | 14.5706         |
  | 12.8347       | 2.97  | 24   | 12.0677         |
  | 11.5971       | 3.97  | 32   | 10.8629         |
  | 10.463        | 4.97  | 40   | 9.3275          |
  | 8.9798        | 5.97  | 48   | 7.0959          |
  | 7.2515        | 6.97  | 56   | 5.9271          |
  | 6.2773        | 7.97  | 64   | 5.3001          |
  | 5.636         | 8.97  | 72   | 4.7396          |
  | 5.0218        | 9.97  | 80   | 4.1504          |
  | 4.3526        | 10.97 | 88   | 3.4576          |
  | 3.5813        | 11.97 | 96   | 2.6589          |
  | 2.7243        | 12.97 | 104  | 1.7789          |
  | 1.7997        | 13.97 | 112  | 0.9672          |
  | 0.995         | 14.97 | 120  | 0.4184          |
  | 0.4459        | 15.97 | 128  | 0.1611          |
  | 0.1844        | 16.97 | 136  | 0.0645          |
  | 0.077         | 17.97 | 144  | 0.0292          |
  | 0.0332        | 18.97 | 152  | 0.0212          |
  | 0.0197        | 19.97 | 160  | 0.0187          |
  | 0.0151        | 20.97 | 168  | 0.0169          |
  | 0.0245        | 21.97 | 176  | 0.0160          |
  | 0.0099        | 22.97 | 184  | 0.0206          |
  | 0.0094        | 23.97 | 192  | 0.0158          |
  | 0.0082        | 24.97 | 200  | 0.0170          |
  | 0.0063        | 25.97 | 208  | 0.0159          |
  | 0.0075        | 26.97 | 216  | 0.0169          |
  | 0.0059        | 27.97 | 224  | 0.0154          |
  | 0.0047        | 28.97 | 232  | 0.0164          |
  | 0.0045        | 29.97 | 240  | 0.0181          |
  | 0.0037        | 30.97 | 248  | 0.0192          |
  | 0.0038        | 31.97 | 256  | 0.0160          |
  | 0.0045        | 32.97 | 264  | 0.0162          |
  | 0.0056        | 33.97 | 272  | 0.0150          |
  | 0.0043        | 34.97 | 280  | 0.0149          |
  | 0.0036        | 35.97 | 288  | 0.0155          |
  | 0.0032        | 36.97 | 296  | 0.0183          |
  | 0.0032        | 37.97 | 304  | 0.0158          |
  | 0.0028        | 38.97 | 312  | 0.0155          |
  | 0.0032        | 39.97 | 320  | 0.0160          |
  | 0.0027        | 40.97 | 328  | 0.0180          |
  | 0.0033        | 41.97 | 336  | 0.0164          |
  | 0.0035        | 42.97 | 344  | 0.0211          |
  
  
  ### Framework versions
  
  - Transformers 4.21.3
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  