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Rvk4/distilbert-base-uncasedamazon_reviews_sentiment_analysis

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README.md CHANGED
@@ -18,8 +18,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0552
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- - Accuracy: {'accuracy': 0.881}
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  ## Model description
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@@ -48,18 +48,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
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- | No log | 1.0 | 250 | 0.3854 | {'accuracy': 0.876} |
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- | 0.4433 | 2.0 | 500 | 0.3921 | {'accuracy': 0.883} |
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- | 0.4433 | 3.0 | 750 | 0.4764 | {'accuracy': 0.885} |
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- | 0.2108 | 4.0 | 1000 | 0.5715 | {'accuracy': 0.884} |
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- | 0.2108 | 5.0 | 1250 | 0.7794 | {'accuracy': 0.878} |
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- | 0.0745 | 6.0 | 1500 | 0.7698 | {'accuracy': 0.885} |
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- | 0.0745 | 7.0 | 1750 | 0.9466 | {'accuracy': 0.881} |
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- | 0.0176 | 8.0 | 2000 | 1.0031 | {'accuracy': 0.885} |
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- | 0.0176 | 9.0 | 2250 | 1.0363 | {'accuracy': 0.883} |
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- | 0.007 | 10.0 | 2500 | 1.0552 | {'accuracy': 0.881} |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3504
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+ - Accuracy: {'accuracy': 0.9220420199041651}
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------------------------------:|
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+ | 0.4389 | 1.0 | 5426 | 0.3219 | {'accuracy': 0.8962403243641726} |
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+ | 0.3786 | 2.0 | 10852 | 0.3866 | {'accuracy': 0.8938444526354589} |
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+ | 0.4217 | 3.0 | 16278 | 0.3720 | {'accuracy': 0.8986361960928861} |
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+ | 0.4178 | 4.0 | 21704 | 0.4612 | {'accuracy': 0.8936601548101732} |
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+ | 0.3867 | 5.0 | 27130 | 0.4108 | {'accuracy': 0.9001105786951714} |
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+ | 0.4258 | 6.0 | 32556 | 0.4565 | {'accuracy': 0.9034279395503133} |
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+ | 0.4024 | 7.0 | 37982 | 0.4088 | {'accuracy': 0.9102469590858828} |
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+ | 0.3556 | 8.0 | 43408 | 0.3828 | {'accuracy': 0.9130114264651678} |
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+ | 0.3249 | 9.0 | 48834 | 0.3434 | {'accuracy': 0.9194618503501659} |
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+ | 0.2882 | 10.0 | 54260 | 0.3504 | {'accuracy': 0.9220420199041651} |
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  ### Framework versions
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