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marcelcastrobr
/
sagemaker-distilbert-emotion

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files
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 Community
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marcelcastrobr commited on
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1 Parent(s): abb03ba

End of training

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  1. README.md +6 -6
README.md CHANGED
@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.931
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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
@@ -29,8 +29,8 @@ 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: 0.1359
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- - Accuracy: 0.931
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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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- | 0.9201 | 1.0 | 500 | 0.2352 | 0.9245 |
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- | 0.1916 | 2.0 | 1000 | 0.1521 | 0.926 |
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- | 0.1023 | 3.0 | 1500 | 0.1359 | 0.931 |
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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: 0.928
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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: 0.1477
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+ - Accuracy: 0.928
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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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+ | 0.9308 | 1.0 | 500 | 0.2632 | 0.916 |
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+ | 0.1871 | 2.0 | 1000 | 0.1651 | 0.926 |
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+ | 0.1025 | 3.0 | 1500 | 0.1477 | 0.928 |
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  ### Framework versions