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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: 2.3153
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- - Accuracy: 0.3605
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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 | 152 | 2.5546 | 0.2263 |
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- | No log | 2.0 | 304 | 2.4698 | 0.2272 |
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- | No log | 3.0 | 456 | 2.4192 | 0.2395 |
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- | 2.4947 | 4.0 | 608 | 2.3456 | 0.3119 |
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- | 2.4947 | 5.0 | 760 | 2.3169 | 0.3210 |
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- | 2.4947 | 6.0 | 912 | 2.3059 | 0.3440 |
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- | 1.881 | 7.0 | 1064 | 2.2955 | 0.3597 |
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- | 1.881 | 8.0 | 1216 | 2.3046 | 0.3588 |
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- | 1.881 | 9.0 | 1368 | 2.3123 | 0.3597 |
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- | 1.437 | 10.0 | 1520 | 2.3153 | 0.3605 |
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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: 2.2980
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+ - Accuracy: 0.3679
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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 | 152 | 2.5214 | 0.2263 |
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+ | No log | 2.0 | 304 | 2.4518 | 0.2272 |
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+ | No log | 3.0 | 456 | 2.3823 | 0.3004 |
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+ | 2.461 | 4.0 | 608 | 2.3026 | 0.3432 |
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+ | 2.461 | 5.0 | 760 | 2.2736 | 0.3531 |
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+ | 2.461 | 6.0 | 912 | 2.2958 | 0.3490 |
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+ | 1.7996 | 7.0 | 1064 | 2.2739 | 0.3671 |
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+ | 1.7996 | 8.0 | 1216 | 2.2829 | 0.3737 |
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+ | 1.7996 | 9.0 | 1368 | 2.2985 | 0.3638 |
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+ | 1.3781 | 10.0 | 1520 | 2.2980 | 0.3679 |
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  ### Framework versions
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