eskayML/bert_interview_new
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- model.safetensors +1 -1
- training_args.bin +0 -0
README.md
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@@ -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:
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.
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| 1.6036 | 5.0 | 2895 | 1.3989 | 0.6207 |
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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: 2.0245
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- Accuracy: 0.3966
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 463 | 2.1972 | 0.3491 |
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| 2.2231 | 2.0 | 926 | 2.0334 | 0.4052 |
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| 1.8254 | 3.0 | 1389 | 2.0277 | 0.3922 |
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| 1.6125 | 4.0 | 1852 | 2.0245 | 0.3966 |
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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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size 267887936
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version https://git-lfs.github.com/spec/v1
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size 267887936
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training_args.bin
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