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dumyy
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sft-bge-bert24m-to-sentiment

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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  1. README.md +10 -7
  2. model.safetensors +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 [BAAI/bge-small-zh-v1.5](https://huggingface.co/BAAI/bge-small-zh-v1.5) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5434
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- - Accuracy: 0.779
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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: 2
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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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- | 0.534 | 1.0 | 3750 | 0.5576 | 0.7653 |
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- | 0.4898 | 2.0 | 7500 | 0.5434 | 0.779 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [BAAI/bge-small-zh-v1.5](https://huggingface.co/BAAI/bge-small-zh-v1.5) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5564
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+ - Accuracy: 0.7853
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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: 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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+ | 0.5355 | 1.0 | 3750 | 0.5576 | 0.7633 |
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+ | 0.4901 | 2.0 | 7500 | 0.5481 | 0.779 |
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+ | 0.4494 | 3.0 | 11250 | 0.5340 | 0.7793 |
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+ | 0.4305 | 4.0 | 15000 | 0.5467 | 0.7797 |
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+ | 0.3995 | 5.0 | 18750 | 0.5564 | 0.7853 |
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  ### Framework versions
model.safetensors CHANGED
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