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trainer10

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End of training

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  1. README.md +9 -69
  2. model.safetensors +1 -1
  3. runs/Mar13_17-39-10_14b4874a0176/events.out.tfevents.1710351565.14b4874a0176.574.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -3,11 +3,6 @@ license: apache-2.0
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  base_model: distilbert-base-cased
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  tags:
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  - generated_from_trainer
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- metrics:
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- - precision
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- - recall
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- - f1
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- - accuracy
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  model-index:
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  - name: trainer10
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  results: []
@@ -20,11 +15,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7683
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- - Precision: 0.6720
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- - Recall: 0.6548
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- - F1: 0.6399
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- - Accuracy: 0.6548
 
 
 
 
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  ## Model description
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@@ -51,65 +50,6 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 30
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 1.9224 | 0.57 | 30 | 1.8591 | 0.2040 | 0.2857 | 0.2111 | 0.2857 |
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- | 1.8121 | 1.13 | 60 | 1.7775 | 0.1794 | 0.2738 | 0.1945 | 0.2738 |
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- | 1.664 | 1.7 | 90 | 1.6257 | 0.3041 | 0.4286 | 0.3424 | 0.4286 |
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- | 1.4444 | 2.26 | 120 | 1.4228 | 0.6559 | 0.5833 | 0.5436 | 0.5833 |
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- | 1.1691 | 2.83 | 150 | 1.2442 | 0.5333 | 0.5595 | 0.5310 | 0.5595 |
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- | 0.8134 | 3.4 | 180 | 1.1036 | 0.6356 | 0.6190 | 0.5953 | 0.6190 |
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- | 0.6325 | 3.96 | 210 | 1.0135 | 0.6977 | 0.6429 | 0.6292 | 0.6429 |
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- | 0.3398 | 4.53 | 240 | 0.9762 | 0.65 | 0.6310 | 0.6221 | 0.6310 |
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- | 0.2877 | 5.09 | 270 | 1.0084 | 0.6312 | 0.6071 | 0.5929 | 0.6071 |
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- | 0.1449 | 5.66 | 300 | 1.0798 | 0.6629 | 0.6429 | 0.6378 | 0.6429 |
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- | 0.0931 | 6.23 | 330 | 1.1399 | 0.6166 | 0.5952 | 0.5883 | 0.5952 |
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- | 0.0551 | 6.79 | 360 | 1.3079 | 0.6214 | 0.6071 | 0.6033 | 0.6071 |
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- | 0.0343 | 7.36 | 390 | 1.2162 | 0.6883 | 0.6548 | 0.6420 | 0.6548 |
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- | 0.0179 | 7.92 | 420 | 1.3300 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0118 | 8.49 | 450 | 1.3735 | 0.6494 | 0.6310 | 0.6201 | 0.6310 |
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- | 0.0138 | 9.06 | 480 | 1.5237 | 0.6630 | 0.6310 | 0.6198 | 0.6310 |
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- | 0.0081 | 9.62 | 510 | 1.4684 | 0.6896 | 0.6667 | 0.6515 | 0.6667 |
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- | 0.0065 | 10.19 | 540 | 1.5379 | 0.6759 | 0.6548 | 0.6413 | 0.6548 |
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- | 0.0057 | 10.75 | 570 | 1.5456 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.005 | 11.32 | 600 | 1.4894 | 0.6616 | 0.6310 | 0.6172 | 0.6310 |
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- | 0.0044 | 11.89 | 630 | 1.5614 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0042 | 12.45 | 660 | 1.6137 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0036 | 13.02 | 690 | 1.6251 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0033 | 13.58 | 720 | 1.6231 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0033 | 14.15 | 750 | 1.6595 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.003 | 14.72 | 780 | 1.6430 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0027 | 15.28 | 810 | 1.6801 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0026 | 15.85 | 840 | 1.6682 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0025 | 16.42 | 870 | 1.6700 | 0.6605 | 0.6310 | 0.6187 | 0.6310 |
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- | 0.0024 | 16.98 | 900 | 1.6956 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0022 | 17.55 | 930 | 1.6928 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.002 | 18.11 | 960 | 1.6913 | 0.6605 | 0.6310 | 0.6187 | 0.6310 |
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- | 0.002 | 18.68 | 990 | 1.6892 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.002 | 19.25 | 1020 | 1.7129 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0019 | 19.81 | 1050 | 1.7287 | 0.6744 | 0.6429 | 0.6300 | 0.6429 |
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- | 0.0018 | 20.38 | 1080 | 1.7370 | 0.6605 | 0.6310 | 0.6187 | 0.6310 |
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- | 0.0017 | 20.94 | 1110 | 1.7435 | 0.6605 | 0.6310 | 0.6187 | 0.6310 |
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- | 0.0017 | 21.51 | 1140 | 1.7369 | 0.6561 | 0.6310 | 0.6180 | 0.6310 |
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- | 0.0016 | 22.08 | 1170 | 1.7509 | 0.6561 | 0.6310 | 0.6180 | 0.6310 |
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- | 0.0016 | 22.64 | 1200 | 1.7543 | 0.6700 | 0.6429 | 0.6293 | 0.6429 |
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- | 0.0015 | 23.21 | 1230 | 1.7679 | 0.6700 | 0.6429 | 0.6293 | 0.6429 |
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- | 0.0015 | 23.77 | 1260 | 1.7700 | 0.6561 | 0.6310 | 0.6180 | 0.6310 |
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- | 0.0016 | 24.34 | 1290 | 1.7573 | 0.6614 | 0.6429 | 0.6294 | 0.6429 |
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- | 0.0015 | 24.91 | 1320 | 1.7603 | 0.6614 | 0.6429 | 0.6294 | 0.6429 |
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- | 0.0014 | 25.47 | 1350 | 1.7618 | 0.6614 | 0.6429 | 0.6294 | 0.6429 |
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- | 0.0015 | 26.04 | 1380 | 1.7613 | 0.6614 | 0.6429 | 0.6294 | 0.6429 |
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- | 0.0013 | 26.6 | 1410 | 1.7580 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.0014 | 27.17 | 1440 | 1.7621 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.0013 | 27.74 | 1470 | 1.7657 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.0013 | 28.3 | 1500 | 1.7679 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.0013 | 28.87 | 1530 | 1.7679 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.0013 | 29.43 | 1560 | 1.7683 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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- | 0.0013 | 30.0 | 1590 | 1.7683 | 0.6720 | 0.6548 | 0.6399 | 0.6548 |
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-
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-
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  ### Framework versions
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  - Transformers 4.38.2
 
3
  base_model: distilbert-base-cased
4
  tags:
5
  - generated_from_trainer
 
 
 
 
 
6
  model-index:
7
  - name: trainer10
8
  results: []
 
15
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
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+ - eval_loss: 1.9534
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+ - eval_precision: 0.0212
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+ - eval_recall: 0.1429
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+ - eval_f1: 0.0369
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+ - eval_accuracy: 0.1429
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+ - eval_runtime: 5.0122
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+ - eval_samples_per_second: 16.759
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+ - eval_steps_per_second: 2.195
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+ - step: 0
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 30
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  ### Framework versions
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  - Transformers 4.38.2
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