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kalai_bert_model_test_3
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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# model_bert_7000_32
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 1.0
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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 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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### Framework versions
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---
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license: apache-2.0
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base_model: albert/albert-base-v2
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tags:
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- generated_from_trainer
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metrics:
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# model_bert_7000_32
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0215
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- Accuracy: 1.0
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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 | 25 | 0.4051 | 0.92 |
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| No log | 2.0 | 50 | 0.1586 | 0.97 |
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| No log | 3.0 | 75 | 0.0592 | 0.98 |
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| No log | 4.0 | 100 | 0.0215 | 1.0 |
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| No log | 5.0 | 125 | 0.0514 | 0.98 |
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### Framework versions
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model.safetensors
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training_args.bin
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