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End of training

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README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0495
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- - Wer Score: 4.7488
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  ## Model description
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@@ -35,12 +35,12 @@ 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: 4
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  - eval_batch_size: 2
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 8
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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
@@ -50,33 +50,28 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|
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- | 7.2487 | 1.8182 | 50 | 4.3718 | 22.0605 |
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- | 2.0953 | 3.6364 | 100 | 0.2876 | 4.0186 |
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- | 0.0846 | 5.4545 | 150 | 0.0417 | 0.4419 |
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- | 0.023 | 7.2727 | 200 | 0.0380 | 0.4233 |
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- | 0.018 | 9.0909 | 250 | 0.0369 | 0.4186 |
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- | 0.0144 | 10.9091 | 300 | 0.0393 | 3.0093 |
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- | 0.0116 | 12.7273 | 350 | 0.0407 | 6.9628 |
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- | 0.0087 | 14.5455 | 400 | 0.0406 | 3.5209 |
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- | 0.0062 | 16.3636 | 450 | 0.0423 | 14.7023 |
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- | 0.0034 | 18.1818 | 500 | 0.0429 | 9.0372 |
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- | 0.0024 | 20.0 | 550 | 0.0471 | 8.3442 |
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- | 0.0013 | 21.8182 | 600 | 0.0469 | 13.5907 |
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- | 0.0009 | 23.6364 | 650 | 0.0464 | 14.6186 |
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- | 0.0005 | 25.4545 | 700 | 0.0468 | 11.1674 |
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- | 0.0004 | 27.2727 | 750 | 0.0476 | 7.9907 |
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- | 0.0003 | 29.0909 | 800 | 0.0480 | 7.3070 |
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- | 0.0003 | 30.9091 | 850 | 0.0480 | 7.2140 |
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- | 0.0003 | 32.7273 | 900 | 0.0484 | 6.9628 |
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- | 0.0003 | 34.5455 | 950 | 0.0487 | 6.8512 |
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- | 0.0003 | 36.3636 | 1000 | 0.0489 | 6.0698 |
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- | 0.0003 | 38.1818 | 1050 | 0.0491 | 5.4837 |
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- | 0.0003 | 40.0 | 1100 | 0.0492 | 4.9256 |
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- | 0.0002 | 41.8182 | 1150 | 0.0493 | 4.7860 |
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- | 0.0002 | 43.6364 | 1200 | 0.0493 | 4.8140 |
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- | 0.0002 | 45.4545 | 1250 | 0.0494 | 4.8 |
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- | 0.0002 | 47.2727 | 1300 | 0.0495 | 4.7581 |
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- | 0.0002 | 49.0909 | 1350 | 0.0495 | 4.7488 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0279
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+ - Wer Score: 7.0134
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  ## Model description
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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: 5
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  - eval_batch_size: 2
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 10
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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 Loss | Epoch | Step | Validation Loss | Wer Score |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|
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+ | 8.5536 | 2.2727 | 50 | 7.1184 | 52.625 |
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+ | 6.2017 | 4.5455 | 100 | 5.0281 | 22.3527 |
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+ | 4.1263 | 6.8182 | 150 | 2.9941 | 21.8616 |
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+ | 2.2013 | 9.0909 | 200 | 1.2700 | 18.7321 |
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+ | 0.7916 | 11.3636 | 250 | 0.3337 | 12.1607 |
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+ | 0.1917 | 13.6364 | 300 | 0.0798 | 4.5357 |
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+ | 0.0458 | 15.9091 | 350 | 0.0356 | 1.0 |
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+ | 0.0142 | 18.1818 | 400 | 0.0278 | 7.25 |
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+ | 0.0066 | 20.4545 | 450 | 0.0287 | 8.4196 |
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+ | 0.0043 | 22.7273 | 500 | 0.0270 | 7.8795 |
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+ | 0.0032 | 25.0 | 550 | 0.0272 | 7.2545 |
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+ | 0.0027 | 27.2727 | 600 | 0.0273 | 7.0179 |
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+ | 0.0023 | 29.5455 | 650 | 0.0271 | 7.2054 |
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+ | 0.002 | 31.8182 | 700 | 0.0275 | 7.0580 |
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+ | 0.0018 | 34.0909 | 750 | 0.0276 | 7.2589 |
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+ | 0.0016 | 36.3636 | 800 | 0.0277 | 7.0312 |
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+ | 0.0015 | 38.6364 | 850 | 0.0277 | 7.0759 |
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+ | 0.0014 | 40.9091 | 900 | 0.0278 | 7.1071 |
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+ | 0.0014 | 43.1818 | 950 | 0.0278 | 7.1161 |
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+ | 0.0013 | 45.4545 | 1000 | 0.0279 | 6.9241 |
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+ | 0.0013 | 47.7273 | 1050 | 0.0279 | 6.9911 |
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+ | 0.0013 | 50.0 | 1100 | 0.0279 | 7.0134 |
 
 
 
 
 
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  ### Framework versions
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