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Model save

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  1. README.md +2 -8
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@@ -4,8 +4,6 @@ license: apache-2.0
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  base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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- metrics:
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- - accuracy
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  model-index:
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  - name: Introduction-greeting-EN
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  results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # Introduction-greeting-EN
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0003
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- - Accuracy: 1.0
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  ## Model description
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@@ -46,14 +41,13 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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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- | No log | 0.9966 | 222 | 0.0194 | 0.9973 |
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- | No log | 1.9933 | 444 | 0.0003 | 1.0 |
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  ### Framework versions
 
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  base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: Introduction-greeting-EN
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  results: []
 
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  # Introduction-greeting-EN
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 
 
 
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  ## Model description
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  - total_train_batch_size: 32
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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: 1
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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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+ | No log | 0.9966 | 222 | 0.0281 | 0.9947 |
 
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  ### Framework versions