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eskayML/bert_interview_new

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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-base-uncased](https://huggingface.co/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: 2.3995
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- - Accuracy: 0.3979
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  ## Model description
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@@ -50,16 +50,16 @@ 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 | 380 | 2.4449 | 0.2266 |
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- | 2.5223 | 2.0 | 760 | 2.2385 | 0.3426 |
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- | 2.1558 | 3.0 | 1140 | 2.1769 | 0.3650 |
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- | 1.8156 | 4.0 | 1520 | 2.1679 | 0.3874 |
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- | 1.8156 | 5.0 | 1900 | 2.1941 | 0.3847 |
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- | 1.5049 | 6.0 | 2280 | 2.2329 | 0.3913 |
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- | 1.2889 | 7.0 | 2660 | 2.3058 | 0.3887 |
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- | 1.12 | 8.0 | 3040 | 2.3406 | 0.3900 |
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- | 1.12 | 9.0 | 3420 | 2.3901 | 0.3926 |
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- | 1.0509 | 10.0 | 3800 | 2.3995 | 0.3979 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4720
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+ - Accuracy: 0.3847
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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 | 380 | 2.4406 | 0.2266 |
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+ | 2.5234 | 2.0 | 760 | 2.2583 | 0.3544 |
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+ | 2.1541 | 3.0 | 1140 | 2.1619 | 0.3729 |
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+ | 1.7685 | 4.0 | 1520 | 2.1508 | 0.3847 |
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+ | 1.7685 | 5.0 | 1900 | 2.2032 | 0.4032 |
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+ | 1.4208 | 6.0 | 2280 | 2.2818 | 0.3953 |
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+ | 1.2307 | 7.0 | 2660 | 2.3386 | 0.3755 |
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+ | 1.0615 | 8.0 | 3040 | 2.4066 | 0.3781 |
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+ | 1.0615 | 9.0 | 3420 | 2.4525 | 0.3794 |
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+ | 1.0153 | 10.0 | 3800 | 2.4720 | 0.3847 |
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  ### Framework versions
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