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dhananjaypandey
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fin_sentiment

Text Classification
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distilbert
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update model card README.md

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README.md CHANGED
@@ -16,7 +16,7 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5455
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  - Accuracy: 0.8019
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  ## Model description
@@ -48,12 +48,12 @@ 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 | 125 | 0.5455 | 0.8019 |
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  ### Framework versions
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- - Transformers 4.24.0
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.7.1
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  - Tokenizers 0.13.2
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5064
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  - Accuracy: 0.8019
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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 | 125 | 0.5064 | 0.8019 |
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  ### Framework versions
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+ - Transformers 4.25.1
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.7.1
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  - Tokenizers 0.13.2