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 | 152 | 2.
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| No log | 2.0 | 304 | 2.
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| No log | 3.0 | 456 | 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: 2.2980
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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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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 sha256:5e109b3a53fe39a6a0a4b54d4e6282c3d48011452094b24bbf66430e10de3875
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size 267887936
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runs/Oct12_22-05-26_88fb077b9c52/events.out.tfevents.1728770727.88fb077b9c52.742.0
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training_args.bin
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