eskayML/bert_interview_new
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README.md
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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.
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- Accuracy: 0.
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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.
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 267887936
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version https://git-lfs.github.com/spec/v1
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oid sha256:37039a0c9286e013e4a959baaa6fb5bbe7fc36309865d7f3b438944b2cec2b8a
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size 267887936
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runs/Oct11_16-58-00_767204f4c226/events.out.tfevents.1728665880.767204f4c226.710.2
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training_args.bin
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