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End of training

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  1. README.md +5 -18
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- 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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  model-index:
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- - name: bert-base-uncased-ml
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # bert-base-uncased-ml
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 2.1621
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  ## Model description
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@@ -36,20 +32,11 @@ More information needed
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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: 150
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- - eval_batch_size: 8
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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: 3.0
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 3.7729 | 1.0 | 14050 | 3.8005 |
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- | 2.408 | 2.0 | 28100 | 2.3630 |
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- | 2.1739 | 3.0 | 42150 | 2.1621 |
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-
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  ### Framework versions
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: language-modeling-from-scratch-ml
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # language-modeling-from-scratch-ml
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+ This model was trained from scratch on the None dataset.
 
 
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  ## Model description
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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: 150
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+ - eval_batch_size: 250
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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: 512
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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pytorch_model.bin CHANGED
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