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  1. README.md +9 -6
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2216
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- - Accuracy: 0.9219
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  ## Model description
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@@ -44,15 +44,18 @@ The following hyperparameters were used during training:
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  - distributed_type: tpu
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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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 | 306 | 0.2533 | 0.9199 |
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- | 0.2874 | 2.0 | 612 | 0.2208 | 0.9297 |
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- | 0.2874 | 3.0 | 918 | 0.2216 | 0.9219 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [line-corporation/line-distilbert-base-japanese](https://huggingface.co/line-corporation/line-distilbert-base-japanese) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3796
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+ - Accuracy: 0.9258
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  ## Model description
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  - distributed_type: tpu
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 6
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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 | 306 | 0.2649 | 0.9160 |
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+ | 0.2942 | 2.0 | 612 | 0.2373 | 0.9082 |
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+ | 0.2942 | 3.0 | 918 | 0.2091 | 0.9219 |
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+ | 0.1394 | 4.0 | 1224 | 0.2558 | 0.9355 |
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+ | 0.0607 | 5.0 | 1530 | 0.2584 | 0.9238 |
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+ | 0.0607 | 6.0 | 1836 | 0.3796 | 0.9258 |
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  ### Framework versions
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