Model save
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README.md
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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
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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: 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 | 122 | 0.
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| No log | 2.0 | 244 | 0.
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| No log | 3.0 | 366 | 0.
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| No log | 4.0 | 488 | 0.
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### Framework versions
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base_model: vinai/phobert-base-v2
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tags:
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- generated_from_trainer
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metrics:
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# model
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0319
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- Accuracy: 0.9918
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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 | 122 | 0.8579 | 0.8574 |
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| No log | 2.0 | 244 | 0.3430 | 0.9645 |
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| No log | 3.0 | 366 | 0.1552 | 0.9810 |
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| No log | 4.0 | 488 | 0.0981 | 0.9840 |
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| 0.6956 | 5.0 | 610 | 0.0636 | 0.9887 |
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| 0.6956 | 6.0 | 732 | 0.0499 | 0.9892 |
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| 0.6956 | 7.0 | 854 | 0.0398 | 0.9907 |
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| 0.6956 | 8.0 | 976 | 0.0346 | 0.9918 |
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| 0.0742 | 9.0 | 1098 | 0.0321 | 0.9918 |
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| 0.0742 | 10.0 | 1220 | 0.0319 | 0.9918 |
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### Framework versions
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runs/Dec10_04-11-42_0f660a210b66/events.out.tfevents.1702181946.0f660a210b66.1308.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:eeda4b5949ae34cdc1fbfa638fd5dcc5e7a7dabf653804201399efe720f0d346
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size 411
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