readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-finetuning-job-recs
    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. -->
  
  # bart-finetuning-job-recs
  
  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: 2.1219
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 200
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.878         | 0.1   | 1000  | 2.5845          |
  | 2.5583        | 0.2   | 2000  | 2.4206          |
  | 2.3887        | 0.3   | 3000  | 2.3398          |
  | 2.244         | 0.4   | 4000  | 2.2853          |
  | 2.2182        | 0.5   | 5000  | 2.2355          |
  | 2.1509        | 0.6   | 6000  | 2.1872          |
  | 2.0912        | 0.7   | 7000  | 2.1582          |
  | 2.1208        | 0.8   | 8000  | 2.1435          |
  | 2.0248        | 0.9   | 9000  | 2.1309          |
  | 2.0394        | 1.0   | 10000 | 2.1219          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  