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distilbert_finetune_own_data_model

Token Classification
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TensorBoard
Safetensors
distilbert
Generated from Trainer
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End of training

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  1. README.md +56 -16
  2. model.safetensors +1 -1
  3. runs/Mar02_12-07-11_de05560c5ef4/events.out.tfevents.1709381248.de05560c5ef4.888.0 +3 -0
  4. runs/Mar02_12-07-11_de05560c5ef4/events.out.tfevents.1709381260.de05560c5ef4.888.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -43,28 +43,68 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | No log | 1.0 | 5 | 0.2706 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 10 | 0.0471 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 15 | 0.0058 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 20 | 0.0018 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 25 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 30 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 35 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 40 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 45 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 50 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 3 | 0.6185 | 0.0 | 0.0 | 0.0 | 0.68 |
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+ | No log | 2.0 | 6 | 0.4919 | 0.0 | 0.0 | 0.0 | 0.68 |
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+ | No log | 3.0 | 9 | 0.3741 | 0.0 | 0.0 | 0.0 | 0.72 |
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+ | No log | 4.0 | 12 | 0.2685 | 1.0 | 0.8 | 0.8889 | 0.96 |
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+ | No log | 5.0 | 15 | 0.1781 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 18 | 0.1043 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 21 | 0.0556 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 24 | 0.0293 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 27 | 0.0163 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 30 | 0.0095 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 11.0 | 33 | 0.0059 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 12.0 | 36 | 0.0040 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 13.0 | 39 | 0.0028 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 14.0 | 42 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 15.0 | 45 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 16.0 | 48 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 17.0 | 51 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 18.0 | 54 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 19.0 | 57 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 20.0 | 60 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 21.0 | 63 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 22.0 | 66 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 23.0 | 69 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 24.0 | 72 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 25.0 | 75 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 26.0 | 78 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 27.0 | 81 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 28.0 | 84 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 29.0 | 87 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 30.0 | 90 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 31.0 | 93 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 32.0 | 96 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 33.0 | 99 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 34.0 | 102 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 35.0 | 105 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 36.0 | 108 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 37.0 | 111 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 38.0 | 114 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 39.0 | 117 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 40.0 | 120 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 41.0 | 123 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 42.0 | 126 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 43.0 | 129 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 44.0 | 132 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 45.0 | 135 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 46.0 | 138 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 47.0 | 141 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 48.0 | 144 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 49.0 | 147 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 50.0 | 150 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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