readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: movieHunt4-ner
    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. -->
  
  # movieHunt4-ner
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0005
  - Precision: 1.0
  - Recall: 1.0
  - F1: 1.0
  - Accuracy: 1.0
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 48   | 0.0284          | 0.9959    | 0.9959 | 0.9959 | 0.9974   |
  | No log        | 2.0   | 96   | 0.0060          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 3.0   | 144  | 0.0034          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 4.0   | 192  | 0.0025          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 5.0   | 240  | 0.0020          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 6.0   | 288  | 0.0016          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 7.0   | 336  | 0.0014          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 8.0   | 384  | 0.0012          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 9.0   | 432  | 0.0011          | 1.0       | 1.0    | 1.0    | 1.0      |
  | No log        | 10.0  | 480  | 0.0010          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 11.0  | 528  | 0.0009          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 12.0  | 576  | 0.0009          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 13.0  | 624  | 0.0008          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 14.0  | 672  | 0.0008          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 15.0  | 720  | 0.0008          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 16.0  | 768  | 0.0007          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 17.0  | 816  | 0.0007          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 18.0  | 864  | 0.0007          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 19.0  | 912  | 0.0006          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0168        | 20.0  | 960  | 0.0006          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 21.0  | 1008 | 0.0006          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 22.0  | 1056 | 0.0006          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 23.0  | 1104 | 0.0006          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 24.0  | 1152 | 0.0006          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 25.0  | 1200 | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 26.0  | 1248 | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 27.0  | 1296 | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 28.0  | 1344 | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 29.0  | 1392 | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
  | 0.0014        | 30.0  | 1440 | 0.0005          | 1.0       | 1.0    | 1.0    | 1.0      |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  