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End of training

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  1. README.md +11 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5464
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- - Cer: 0.1661
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  ## Model description
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@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
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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: 30
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -53,15 +53,14 @@ The following hyperparameters were used during training:
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  | 0.1141 | 8.89 | 25000 | 0.2223 | 0.4460 |
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  | 0.0481 | 10.66 | 30000 | 0.1868 | 0.4128 |
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  | 0.0391 | 12.44 | 35000 | 0.1563 | 0.4172 |
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- | 0.0357 | 14.22 | 40000 | 0.4756 | 0.1981 |
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- | 0.0215 | 16.0 | 45000 | 0.5838 | 0.1983 |
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- | 0.0129 | 17.77 | 50000 | 0.5511 | 0.1757 |
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- | 0.0087 | 19.55 | 55000 | 0.5568 | 0.1699 |
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- | 0.003 | 21.33 | 60000 | 0.4532 | 0.1648 |
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- | 0.0042 | 23.11 | 65000 | 0.4650 | 0.1582 |
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- | 0.0066 | 24.88 | 70000 | 0.4740 | 0.1654 |
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- | 0.0014 | 26.66 | 75000 | 0.4337 | 0.1448 |
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- | 0.0027 | 28.44 | 80000 | 0.5464 | 0.1661 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4335
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+ - Cer: 0.1445
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  ## Model description
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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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+ - training_steps: 75000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 0.1141 | 8.89 | 25000 | 0.2223 | 0.4460 |
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  | 0.0481 | 10.66 | 30000 | 0.1868 | 0.4128 |
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  | 0.0391 | 12.44 | 35000 | 0.1563 | 0.4172 |
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+ | 0.0357 | 14.22 | 40000 | 0.1981 | 0.4756 |
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+ | 0.0215 | 16.0 | 45000 | 0.1983 | 0.5838 |
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+ | 0.0129 | 17.77 | 50000 | 0.1757 | 0.5511 |
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+ | 0.0087 | 19.55 | 55000 | 0.1699 | 0.5568 |
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+ | 0.003 | 21.33 | 60000 | 0.1648 | 0.4532 |
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+ | 0.0042 | 23.11 | 65000 | 0.1582 | 0.4650 |
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+ | 0.0066 | 24.88 | 70000 | 0.1654 | 0.4740 |
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+ | 0.0014 | 26.66 | 75000 | 0.1448 | 0.4337 |
 
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  ### Framework versions
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@@ -1,3 +1,3 @@
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  size 4728
 
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