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amr8ta
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electra-case-16

Text Classification
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electra
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  1. README.md +18 -18
  2. model.safetensors +1 -1
  3. runs/Jan05_19-19-43_cb1c69e4929a/events.out.tfevents.1704482385.cb1c69e4929a.4154.25 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [amr8ta/electra-case-16](https://huggingface.co/amr8ta/electra-case-16) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3294
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- - Accuracy: 0.9067
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  ## Model description
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@@ -49,22 +49,22 @@ 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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- | No log | 1.0 | 44 | 0.3880 | 0.8333 |
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- | No log | 2.0 | 88 | 0.3172 | 0.9 |
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- | No log | 3.0 | 132 | 0.3449 | 0.88 |
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- | No log | 4.0 | 176 | 0.3472 | 0.8867 |
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- | No log | 5.0 | 220 | 0.3255 | 0.8867 |
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- | No log | 6.0 | 264 | 0.3116 | 0.8933 |
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- | No log | 7.0 | 308 | 0.2972 | 0.9 |
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- | No log | 8.0 | 352 | 0.3031 | 0.8933 |
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- | No log | 9.0 | 396 | 0.3081 | 0.8933 |
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- | No log | 10.0 | 440 | 0.3090 | 0.9 |
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- | No log | 11.0 | 484 | 0.3094 | 0.9067 |
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- | 0.0966 | 12.0 | 528 | 0.3344 | 0.8867 |
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- | 0.0966 | 13.0 | 572 | 0.3303 | 0.8933 |
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- | 0.0966 | 14.0 | 616 | 0.3255 | 0.9067 |
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- | 0.0966 | 15.0 | 660 | 0.3262 | 0.9067 |
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- | 0.0966 | 16.0 | 704 | 0.3294 | 0.9067 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [amr8ta/electra-case-16](https://huggingface.co/amr8ta/electra-case-16) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4525
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+ - Accuracy: 0.8933
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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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+ | No log | 1.0 | 44 | 0.3311 | 0.8733 |
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+ | No log | 2.0 | 88 | 0.3448 | 0.8667 |
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+ | No log | 3.0 | 132 | 0.3250 | 0.9 |
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+ | No log | 4.0 | 176 | 0.3456 | 0.9 |
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+ | No log | 5.0 | 220 | 0.3695 | 0.9067 |
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+ | No log | 6.0 | 264 | 0.4012 | 0.8933 |
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+ | No log | 7.0 | 308 | 0.3983 | 0.8933 |
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+ | No log | 8.0 | 352 | 0.4132 | 0.8933 |
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+ | No log | 9.0 | 396 | 0.4336 | 0.9067 |
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+ | No log | 10.0 | 440 | 0.4263 | 0.8933 |
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+ | No log | 11.0 | 484 | 0.4124 | 0.9 |
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+ | 0.0318 | 12.0 | 528 | 0.4278 | 0.8933 |
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+ | 0.0318 | 13.0 | 572 | 0.4593 | 0.8933 |
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+ | 0.0318 | 14.0 | 616 | 0.4477 | 0.8933 |
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+ | 0.0318 | 15.0 | 660 | 0.4505 | 0.8933 |
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+ | 0.0318 | 16.0 | 704 | 0.4525 | 0.8933 |
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  ### Framework versions
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