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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| No log | 1.0 |
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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: 2.3153
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- Accuracy: 0.3605
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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 | 2.5546 | 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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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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size 267887936
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runs/Oct11_17-11-59_e4706a6fd752/events.out.tfevents.1728666720.e4706a6fd752.2632.0
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training_args.bin
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