readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: all-roberta-large-v1-meta-2-16-5
    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. -->
  
  # all-roberta-large-v1-meta-2-16-5
  
  This model is a fine-tuned version of [sentence-transformers/all-roberta-large-v1](https://huggingface.co/sentence-transformers/all-roberta-large-v1) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4797
  - Accuracy: 0.28
  
  ## 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: 48
  - eval_batch_size: 48
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.7721        | 1.0   | 1    | 2.6529          | 0.1889   |
  | 2.2569        | 2.0   | 2    | 2.5866          | 0.2333   |
  | 1.9837        | 3.0   | 3    | 2.5340          | 0.2644   |
  | 1.6425        | 4.0   | 4    | 2.4980          | 0.2756   |
  | 1.4612        | 5.0   | 5    | 2.4797          | 0.28     |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  