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End of training

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  1. README.md +31 -17
  2. model.safetensors +1 -1
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: 0.0506
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- - Wer Score: 1.3548
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  ## Model description
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@@ -36,11 +36,11 @@ More information needed
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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: 2
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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: 4
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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
@@ -50,19 +50,33 @@ 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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- | 7.32 | 3.7037 | 50 | 4.4920 | 7.1290 |
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- | 2.3088 | 7.4074 | 100 | 0.4180 | 0.3710 |
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- | 0.1216 | 11.1111 | 150 | 0.0417 | 0.4677 |
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- | 0.0159 | 14.8148 | 200 | 0.0359 | 0.4194 |
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- | 0.0112 | 18.5185 | 250 | 0.0404 | 0.4516 |
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- | 0.0089 | 22.2222 | 300 | 0.0454 | 0.4839 |
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- | 0.0076 | 25.9259 | 350 | 0.0468 | 0.4677 |
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- | 0.0065 | 29.6296 | 400 | 0.0474 | 0.4355 |
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- | 0.0045 | 33.3333 | 450 | 0.0517 | 0.8548 |
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- | 0.0032 | 37.0370 | 500 | 0.0494 | 3.0 |
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- | 0.0018 | 40.7407 | 550 | 0.0511 | 1.0323 |
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- | 0.0011 | 44.4444 | 600 | 0.0512 | 1.5323 |
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- | 0.001 | 48.1481 | 650 | 0.0506 | 1.3548 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.0495
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+ - Wer Score: 4.7488
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  ## Model description
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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
 
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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
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 706516040
 
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  version https://git-lfs.github.com/spec/v1
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  size 706516040