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Sairii
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mood_classifier_distilbert

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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Sbudo text classifier

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
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/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.1030
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- - Accuracy: 0.9787
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  ## Model description
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@@ -50,11 +50,11 @@ 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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- | 0.6169 | 1.0 | 164 | 0.1723 | 0.9505 |
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- | 0.1161 | 2.0 | 328 | 0.1274 | 0.9665 |
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- | 0.0555 | 3.0 | 492 | 0.1260 | 0.9688 |
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- | 0.022 | 4.0 | 656 | 0.0972 | 0.9787 |
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- | 0.0114 | 5.0 | 820 | 0.1030 | 0.9787 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.1151
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+ - Accuracy: 0.9779
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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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+ | 0.6246 | 1.0 | 164 | 0.1772 | 0.9535 |
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+ | 0.1157 | 2.0 | 328 | 0.1541 | 0.9627 |
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+ | 0.0486 | 3.0 | 492 | 0.1017 | 0.9779 |
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+ | 0.0222 | 4.0 | 656 | 0.1021 | 0.9794 |
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+ | 0.0115 | 5.0 | 820 | 0.1151 | 0.9779 |
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  ### Framework versions
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