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dmo0798
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trained_dilibert_sentiment_analysis

Text Classification
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distilbert
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End of training

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  1. README.md +8 -2
  2. runs/Jun18_01-14-38_04e94acb8670/events.out.tfevents.1718673279.04e94acb8670.7277.0 +3 -0
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README.md CHANGED
@@ -19,8 +19,7 @@ This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetu
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3948
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  - Accuracy: 0.906
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- - Confusion Matrix: [[174 46]
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- [ 48 732]]
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  ## Model description
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@@ -49,6 +48,13 @@ The following hyperparameters were used during training:
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  ### Training results
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  ### Framework versions
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3948
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  - Accuracy: 0.906
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+ - Confusion Matrix: [[174, 46], [48, 732]]
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Confusion Matrix |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------------:|
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+ | No log | 1.0 | 188 | 0.2507 | 0.905 | [[168, 52], [43, 737]] |
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+ | No log | 2.0 | 376 | 0.2797 | 0.904 | [[172, 48], [48, 732]] |
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+ | 0.2241 | 3.0 | 564 | 0.3635 | 0.906 | [[154, 66], [28, 752]] |
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+ | 0.2241 | 4.0 | 752 | 0.3798 | 0.908 | [[171, 49], [43, 737]] |
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+ | 0.2241 | 5.0 | 940 | 0.3948 | 0.906 | [[174, 46], [48, 732]] |
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  ### Framework versions
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