readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment
    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. -->
  
  # sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment
  
  This model is a fine-tuned version of [sentence-transformers/msmarco-distilbert-base-tas-b](https://huggingface.co/sentence-transformers/msmarco-distilbert-base-tas-b) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6954
  - Accuracy: 0.7146
  
  ## 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-06
  - 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
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.8892        | 1.0   | 1387  | 0.8472          | 0.6180   |
  | 0.7965        | 2.0   | 2774  | 0.7797          | 0.6609   |
  | 0.7459        | 3.0   | 4161  | 0.7326          | 0.6872   |
  | 0.7096        | 4.0   | 5548  | 0.7133          | 0.6995   |
  | 0.6853        | 5.0   | 6935  | 0.6998          | 0.7002   |
  | 0.6561        | 6.0   | 8322  | 0.6949          | 0.7059   |
  | 0.663         | 7.0   | 9709  | 0.6956          | 0.7077   |
  | 0.6352        | 8.0   | 11096 | 0.6890          | 0.7164   |
  | 0.6205        | 9.0   | 12483 | 0.6888          | 0.7117   |
  | 0.6203        | 10.0  | 13870 | 0.6871          | 0.7121   |
  | 0.6005        | 11.0  | 15257 | 0.6879          | 0.7171   |
  | 0.5985        | 12.0  | 16644 | 0.6870          | 0.7139   |
  | 0.5839        | 13.0  | 18031 | 0.6882          | 0.7164   |
  | 0.5861        | 14.0  | 19418 | 0.6910          | 0.7124   |
  | 0.5732        | 15.0  | 20805 | 0.6916          | 0.7153   |
  | 0.5797        | 16.0  | 22192 | 0.6947          | 0.7110   |
  | 0.5565        | 17.0  | 23579 | 0.6930          | 0.7175   |
  | 0.5636        | 18.0  | 24966 | 0.6959          | 0.7106   |
  | 0.5642        | 19.0  | 26353 | 0.6952          | 0.7132   |
  | 0.5717        | 20.0  | 27740 | 0.6954          | 0.7146   |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  