mehmettozlu commited on
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Training completed.

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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9365
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1650
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- - Accuracy: 0.9365
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  ## Model description
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@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 250 | 0.1920 | 0.9255 |
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- | 0.338 | 2.0 | 500 | 0.1590 | 0.936 |
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- | 0.338 | 3.0 | 750 | 0.1571 | 0.9335 |
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- | 0.0858 | 4.0 | 1000 | 0.1527 | 0.9415 |
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- | 0.0858 | 5.0 | 1250 | 0.1650 | 0.9365 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9415
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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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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1508
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+ - Accuracy: 0.9415
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 250 | 0.1900 | 0.932 |
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+ | 0.3456 | 2.0 | 500 | 0.1357 | 0.936 |
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+ | 0.3456 | 3.0 | 750 | 0.1391 | 0.9445 |
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+ | 0.0865 | 4.0 | 1000 | 0.1422 | 0.9455 |
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+ | 0.0865 | 5.0 | 1250 | 0.1508 | 0.9415 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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