yensubldg commited on
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1a9bcde
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1 Parent(s): 55852de

Model save

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README.md CHANGED
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  ---
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- base_model: yensubldg/model
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # model
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- This model is a fine-tuned version of [yensubldg/model](https://huggingface.co/yensubldg/model) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3104
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- - Accuracy: 0.9656
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 122 | 0.5173 | 0.9156 |
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- | No log | 2.0 | 244 | 0.6684 | 0.9031 |
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- | No log | 3.0 | 366 | 0.3652 | 0.9563 |
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- | No log | 4.0 | 488 | 0.3621 | 0.9594 |
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- | 0.0456 | 5.0 | 610 | 0.3217 | 0.9625 |
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- | 0.0456 | 6.0 | 732 | 0.3479 | 0.9594 |
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- | 0.0456 | 7.0 | 854 | 0.3267 | 0.9656 |
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- | 0.0456 | 8.0 | 976 | 0.3244 | 0.9594 |
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- | 0.0209 | 9.0 | 1098 | 0.3104 | 0.9656 |
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- | 0.0209 | 10.0 | 1220 | 0.3208 | 0.9656 |
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  ### Framework versions
 
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  ---
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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
runs/Dec10_04-11-42_0f660a210b66/events.out.tfevents.1702181946.0f660a210b66.1308.3 ADDED
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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