frederickpeal commited on
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End of training

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README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ubot
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- This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0019
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- - Accuracy: 0.9995
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  ## Model description
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@@ -37,23 +37,20 @@ 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: 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1538 | 1.0 | 684 | 0.0461 | 0.9895 |
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- | 0.0552 | 2.0 | 1368 | 0.0288 | 0.9940 |
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- | 0.0411 | 3.0 | 2052 | 0.0166 | 0.9971 |
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- | 0.0251 | 4.0 | 2736 | 0.0083 | 0.9983 |
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- | 0.0209 | 5.0 | 3420 | 0.0019 | 0.9995 |
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  ### Framework versions
@@ -61,4 +58,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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- - Tokenizers 0.15.0
 
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  # ubot
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+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1478
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+ - Accuracy: 0.9561
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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: 3e-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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.1296 | 1.0 | 1810 | 0.1433 | 0.9536 |
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+ | 0.0931 | 2.0 | 3620 | 0.1478 | 0.9561 |
 
 
 
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  ### Framework versions
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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