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sibozhu
/
cp_intent_model

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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xet
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sibozhu commited on
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End of training

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Files changed (3) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/May20_16-20-32_b2e96aa38d49/events.out.tfevents.1716222032.b2e96aa38d49.319.1 +2 -2
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0021
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  - Accuracy: 1.0
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  ## Model description
@@ -49,16 +49,16 @@ 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 | 38 | 0.2358 | 0.985 |
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- | No log | 2.0 | 76 | 0.0413 | 0.995 |
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- | No log | 3.0 | 114 | 0.0064 | 1.0 |
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- | No log | 4.0 | 152 | 0.0050 | 1.0 |
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- | No log | 5.0 | 190 | 0.0041 | 1.0 |
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- | No log | 6.0 | 228 | 0.0029 | 1.0 |
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- | No log | 7.0 | 266 | 0.0027 | 1.0 |
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- | No log | 8.0 | 304 | 0.0023 | 1.0 |
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- | No log | 9.0 | 342 | 0.0021 | 1.0 |
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- | No log | 10.0 | 380 | 0.0021 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0002
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  - Accuracy: 1.0
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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 | 150 | 0.0107 | 0.9988 |
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+ | No log | 2.0 | 300 | 0.0154 | 0.9975 |
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+ | No log | 3.0 | 450 | 0.0337 | 0.9938 |
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+ | 0.0325 | 4.0 | 600 | 0.0003 | 1.0 |
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+ | 0.0325 | 5.0 | 750 | 0.0003 | 1.0 |
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+ | 0.0325 | 6.0 | 900 | 0.0002 | 1.0 |
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+ | 0.0011 | 7.0 | 1050 | 0.0002 | 1.0 |
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+ | 0.0011 | 8.0 | 1200 | 0.0002 | 1.0 |
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+ | 0.0011 | 9.0 | 1350 | 0.0002 | 1.0 |
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+ | 0.0002 | 10.0 | 1500 | 0.0002 | 1.0 |
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  ### Framework versions
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