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lapa-llm
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alignment-score-model

Text Classification
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Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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  1. README.md +8 -8
  2. final/model.safetensors +1 -1
  3. final/training_args.bin +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: 0.1778
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- - Precision: 0.8143
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- - Recall: 0.6958
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- - F1 Macro: 0.6687
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- - Accuracy: 0.7020
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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 | 0.4599 | 0.2449 | 0.5 | 0.3288 | 0.4898 |
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- | No log | 1.0 | 29 | 0.2068 | 0.7767 | 0.5796 | 0.4935 | 0.5882 |
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- | No log | 2.0 | 58 | 0.1778 | 0.8143 | 0.6958 | 0.6687 | 0.7020 |
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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: 0.1727
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+ - Precision: 0.8225
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+ - Recall: 0.7165
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+ - F1 Macro: 0.6953
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+ - Accuracy: 0.7221
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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 | 0.5781 | 0.2450 | 0.5 | 0.3289 | 0.4900 |
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+ | No log | 1.0 | 31 | 0.2028 | 0.7910 | 0.6264 | 0.5697 | 0.6338 |
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+ | No log | 2.0 | 62 | 0.1727 | 0.8225 | 0.7165 | 0.6953 | 0.7221 |
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  ### Framework versions
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