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Ved2001
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sentiment-model

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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Ved2001/pranalyzer

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  1. README.md +6 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ 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: 0.2066
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- - Accuracy: 0.93
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- - F1: 0.9300
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.2260 | 1.0 | 157 | 0.2100 | 0.925 | 0.9250 |
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- | 0.1676 | 2.0 | 314 | 0.2066 | 0.93 | 0.9300 |
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- | 0.0947 | 3.0 | 471 | 0.2356 | 0.931 | 0.9310 |
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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: 0.2034
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+ - Accuracy: 0.929
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+ - F1: 0.9290
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.2289 | 1.0 | 157 | 0.2111 | 0.919 | 0.9190 |
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+ | 0.1662 | 2.0 | 314 | 0.2034 | 0.929 | 0.9290 |
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+ | 0.0983 | 3.0 | 471 | 0.2297 | 0.929 | 0.9290 |
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  ### Framework versions
model.safetensors CHANGED
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