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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: 4.0762
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- - Accuracy: 0.12
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  ## Model description
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@@ -42,17 +42,22 @@ The following hyperparameters were used during training:
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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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- | 5.398 | 1.0 | 16 | 5.0890 | 0.07 |
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- | 4.8417 | 2.0 | 32 | 4.5593 | 0.07 |
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- | 4.585 | 3.0 | 48 | 4.2367 | 0.07 |
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- | 4.2703 | 4.0 | 64 | 4.1328 | 0.13 |
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- | 4.198 | 5.0 | 80 | 4.0762 | 0.12 |
 
 
 
 
 
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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: 3.0006
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+ - Accuracy: 0.1399
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  ## Model description
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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: 10
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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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+ | 3.0532 | 1.0 | 3376 | 3.0970 | 0.1370 |
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+ | 2.9743 | 2.0 | 6752 | 2.9974 | 0.1423 |
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+ | 2.9687 | 3.0 | 10128 | 2.9661 | 0.1427 |
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+ | 2.8626 | 4.0 | 13504 | 2.9584 | 0.1419 |
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+ | 2.834 | 5.0 | 16880 | 2.9616 | 0.1421 |
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+ | 2.7554 | 6.0 | 20256 | 2.9660 | 0.1426 |
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+ | 2.7024 | 7.0 | 23632 | 2.9738 | 0.1400 |
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+ | 2.6473 | 8.0 | 27008 | 2.9881 | 0.1402 |
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+ | 2.6103 | 9.0 | 30384 | 2.9958 | 0.1398 |
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+ | 2.5661 | 10.0 | 33760 | 3.0006 | 0.1399 |
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  ### Framework versions
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