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@@ -181,9 +181,9 @@ You can finetune this model on your own dataset.
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  | Metric | Value |
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  |:------------------|:-----------|
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- | src2trg_accuracy | 0.0002 |
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- | trg2src_accuracy | 0.0 |
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- | **mean_accuracy** | **0.0001** |
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  <!--
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  ## Bias, Risks and Limitations
@@ -275,7 +275,7 @@ You can finetune this model on your own dataset.
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  - `torch_empty_cache_steps`: 200
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  - `learning_rate`: 0.2
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  - `weight_decay`: 0.001
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- - `num_train_epochs`: 1
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  - `warmup_ratio`: 0.25
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  - `seed`: 25
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  - `batch_sampler`: no_duplicates
@@ -401,12 +401,6 @@ You can finetune this model on your own dataset.
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  </details>
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- ### Training Logs
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- | Epoch | Step | mean_accuracy |
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- |:-----:|:----:|:-------------:|
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- | 0 | 0 | 0.0001 |
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-
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-
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  ### Framework Versions
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  - Python: 3.12.8
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  - Sentence Transformers: 3.3.1
 
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  | Metric | Value |
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  |:------------------|:-----------|
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+ | src2trg_accuracy | 0.7614 |
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+ | trg2src_accuracy | 0.7718 |
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+ | **mean_accuracy** | **0.7666** |
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  <!--
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  ## Bias, Risks and Limitations
 
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  - `torch_empty_cache_steps`: 200
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  - `learning_rate`: 0.2
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  - `weight_decay`: 0.001
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+ - `num_train_epochs`: 10
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  - `warmup_ratio`: 0.25
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  - `seed`: 25
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  - `batch_sampler`: no_duplicates
 
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  </details>
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  ### Framework Versions
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  - Python: 3.12.8
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  - Sentence Transformers: 3.3.1