Model save
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README.md
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---
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library_name: transformers
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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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# Introduction-greeting-EN
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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: 0.0001
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- Accuracy: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.9975 | 197 | 0.
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| No log | 1.9949 | 394 | 0.0001 | 1.0 |
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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# Introduction-greeting-EN
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0001
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- Accuracy: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| No log | 0.9975 | 197 | 0.0005 | 1.0 |
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| No log | 1.9949 | 394 | 0.0001 | 1.0 |
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