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End of training

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README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5341
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- - Accuracy: 0.4826
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  ## Model description
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@@ -36,23 +36,21 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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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: 5
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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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- | 0.9308 | 1.0 | 1152 | 0.9855 | 0.3233 |
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- | 0.8102 | 2.0 | 2304 | 1.0159 | 0.3836 |
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- | 0.8724 | 3.0 | 3456 | 1.1756 | 0.4202 |
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- | 0.3904 | 4.0 | 4608 | 1.4129 | 0.4773 |
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- | 0.5297 | 5.0 | 5760 | 1.5341 | 0.4826 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1004
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+ - Accuracy: 0.4061
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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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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+ | 0.8995 | 1.0 | 1152 | 0.9571 | 0.3551 |
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+ | 0.8557 | 2.0 | 2304 | 0.9957 | 0.3757 |
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+ | 0.9867 | 3.0 | 3456 | 1.1004 | 0.4061 |
 
 
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  ### Framework versions
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