readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: all-distilroberta-v1-finetuned-DIT-10_epochs
    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-distilroberta-v1-finetuned-DIT-10_epochs
  
  This model is a fine-tuned version of [sentence-transformers/all-distilroberta-v1](https://huggingface.co/sentence-transformers/all-distilroberta-v1) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0044
  
  ## 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: 2e-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
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 358  | 0.0196          |
  | 0.3013        | 2.0   | 716  | 0.0092          |
  | 0.0073        | 3.0   | 1074 | 0.0065          |
  | 0.0073        | 4.0   | 1432 | 0.0054          |
  | 0.0021        | 5.0   | 1790 | 0.0051          |
  | 0.0007        | 6.0   | 2148 | 0.0047          |
  | 0.0004        | 7.0   | 2506 | 0.0047          |
  | 0.0004        | 8.0   | 2864 | 0.0046          |
  | 0.0004        | 9.0   | 3222 | 0.0044          |
  | 0.0003        | 10.0  | 3580 | 0.0044          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.2+cpu
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  