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Text Classification
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Muhammad Farrukh Mehmood commited on
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Training completed!

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  1. README.md +10 -14
  2. runs/Jul13_07-56-26_6d536e928978/events.out.tfevents.1720857423.6d536e928978.571.0 +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ 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: 0.3068
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- - Accuracy: 0.9085
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- - F1 Score: 0.9086
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  ## Model description
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@@ -44,22 +44,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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- | 0.9641 | 1.0 | 250 | 0.6194 | 0.792 | 0.7819 |
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- | 0.4398 | 2.0 | 500 | 0.3389 | 0.883 | 0.8825 |
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- | 0.258 | 3.0 | 750 | 0.2948 | 0.8945 | 0.8951 |
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- | 0.1744 | 4.0 | 1000 | 0.2841 | 0.9035 | 0.9038 |
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- | 0.132 | 5.0 | 1250 | 0.2937 | 0.8985 | 0.8983 |
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- | 0.1078 | 6.0 | 1500 | 0.2770 | 0.9055 | 0.9054 |
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- | 0.0888 | 7.0 | 1750 | 0.3017 | 0.903 | 0.9028 |
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- | 0.0739 | 8.0 | 2000 | 0.2829 | 0.9095 | 0.9096 |
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- | 0.0611 | 9.0 | 2250 | 0.3062 | 0.91 | 0.9102 |
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- | 0.0506 | 10.0 | 2500 | 0.3068 | 0.9085 | 0.9086 |
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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: 0.2905
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+ - Accuracy: 0.896
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+ - F1 Score: 0.8962
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 1.5116 | 1.0 | 250 | 1.2809 | 0.5315 | 0.4734 |
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+ | 0.8731 | 2.0 | 500 | 0.5533 | 0.834 | 0.8273 |
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+ | 0.4323 | 3.0 | 750 | 0.3940 | 0.863 | 0.8623 |
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+ | 0.2737 | 4.0 | 1000 | 0.3179 | 0.89 | 0.8900 |
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+ | 0.2098 | 5.0 | 1250 | 0.2963 | 0.8935 | 0.8932 |
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+ | 0.1734 | 6.0 | 1500 | 0.2905 | 0.896 | 0.8962 |
 
 
 
 
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  ### Framework versions
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