readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: hug-clip-bid
    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. -->
  
  # hug-clip-bid
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8276
  
  ## 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: 3e-05
  - train_batch_size: 8
  - 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: 100
  - num_epochs: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.0263        | 0.15  | 100  | 1.3193          |
  | 0.9187        | 0.29  | 200  | 1.0286          |
  | 0.7005        | 0.44  | 300  | 0.9560          |
  | 0.5851        | 0.58  | 400  | 0.9433          |
  | 0.6122        | 0.73  | 500  | 0.8936          |
  | 0.5916        | 0.88  | 600  | 0.8276          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.12.0
  - Datasets 2.3.2
  - Tokenizers 0.11.6
  