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eskayML
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interview_classifier

Text Classification
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distilbert
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eskayML/interview_classifier

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +0 -0
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: 2.0881
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- - Accuracy: 0.2593
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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 | 54 | 2.2885 | 0.1481 |
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- | No log | 2.0 | 108 | 2.2611 | 0.1481 |
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- | No log | 3.0 | 162 | 2.2186 | 0.2593 |
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- | No log | 4.0 | 216 | 2.1877 | 0.2222 |
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- | No log | 5.0 | 270 | 2.1593 | 0.2593 |
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- | No log | 6.0 | 324 | 2.1332 | 0.2593 |
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- | No log | 7.0 | 378 | 2.1185 | 0.2963 |
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- | No log | 8.0 | 432 | 2.0965 | 0.2593 |
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- | No log | 9.0 | 486 | 2.0914 | 0.2593 |
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- | 1.9418 | 10.0 | 540 | 2.0881 | 0.2593 |
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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: 1.4570
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+ - Accuracy: 0.8611
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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 | 54 | 2.2496 | 0.2593 |
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+ | No log | 2.0 | 108 | 2.1561 | 0.4444 |
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+ | No log | 3.0 | 162 | 2.0315 | 0.5648 |
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+ | No log | 4.0 | 216 | 1.9100 | 0.6852 |
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+ | No log | 5.0 | 270 | 1.7820 | 0.7870 |
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+ | No log | 6.0 | 324 | 1.6627 | 0.8056 |
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+ | No log | 7.0 | 378 | 1.5728 | 0.8519 |
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+ | No log | 8.0 | 432 | 1.5169 | 0.8611 |
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+ | No log | 9.0 | 486 | 1.4705 | 0.8611 |
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+ | 1.9122 | 10.0 | 540 | 1.4570 | 0.8611 |
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  ### Framework versions
model.safetensors CHANGED
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  size 267857176
training_args.bin CHANGED
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