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lapa-llm
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alignment-score-model

Text Classification
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xlm-roberta
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  1. README.md +9 -9
  2. final/model.safetensors +1 -1
  3. final/training_args.bin +1 -1
  4. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1155
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- - Precision: 0.9089
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- - Recall: 0.8909
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- - F1 Macro: 0.8914
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- - Accuracy: 0.8928
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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- | No log | 0 | 0 | 0.5361 | 0.2450 | 0.5 | 0.3289 | 0.4900 |
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- | No log | 1.0 | 31 | 0.1818 | 0.8567 | 0.7957 | 0.7898 | 0.7997 |
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- | No log | 2.0 | 62 | 0.1267 | 0.9087 | 0.8932 | 0.8938 | 0.8950 |
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- | No log | 3.0 | 93 | 0.1155 | 0.9089 | 0.8909 | 0.8914 | 0.8928 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Snowflake/snowflake-arctic-embed-m-v1.5](https://huggingface.co/Snowflake/snowflake-arctic-embed-m-v1.5) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1019
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+ - Precision: 0.9234
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+ - Recall: 0.9136
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+ - F1 Macro: 0.9143
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+ - Accuracy: 0.9149
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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+ | No log | 0 | 0 | 0.5032 | 0.2550 | 0.5 | 0.3377 | 0.5100 |
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+ | No log | 1.0 | 31 | 0.1634 | 0.8494 | 0.7842 | 0.7770 | 0.7884 |
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+ | No log | 2.0 | 62 | 0.1102 | 0.9267 | 0.9185 | 0.9193 | 0.9198 |
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+ | No log | 3.0 | 93 | 0.1019 | 0.9234 | 0.9136 | 0.9143 | 0.9149 |
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  ### Framework versions
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