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bert-base-uncased

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README.md CHANGED
@@ -1,11 +1,6 @@
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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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- metrics:
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- - accuracy
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- - f1
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  model-index:
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  - name: bert-finetuned-sst2
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  results: []
@@ -16,11 +11,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-finetuned-sst2
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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: 0.4948
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- - Accuracy: 0.77
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- - F1: 0.7767
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  ## Model description
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@@ -45,15 +36,13 @@ 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: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 13 | 0.6412 | 0.57 | 0.7261 |
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- | No log | 2.0 | 26 | 0.5484 | 0.76 | 0.7600 |
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- | No log | 3.0 | 39 | 0.4948 | 0.77 | 0.7767 |
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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: bert-finetuned-sst2
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  results: []
 
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  # bert-finetuned-sst2
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+ This model was trained from scratch on an unknown dataset.
 
 
 
 
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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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+ - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 13 | 0.6786 | 0.57 | 0.7261 |
 
 
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  ### Framework versions
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