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Model save

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  1. README.md +12 -1
  2. final/model.safetensors +1 -1
  3. final/training_args.bin +2 -2
README.md CHANGED
@@ -4,6 +4,10 @@ license: apache-2.0
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  base_model: Snowflake/snowflake-arctic-embed-m-v1.5
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: alignment-score-model
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  results: []
@@ -15,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # alignment-score-model
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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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  ## Model description
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@@ -45,7 +55,8 @@ The following hyperparameters were used during training:
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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 | 0.4495 | 0.2449 | 0.5 | 0.3288 | 0.4898 |
 
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  ### Framework versions
 
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  base_model: Snowflake/snowflake-arctic-embed-m-v1.5
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - accuracy
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  model-index:
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  - name: alignment-score-model
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  results: []
 
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  # alignment-score-model
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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: 0.2496
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+ - Precision: 0.2551
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+ - Recall: 0.5
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+ - F1 Macro: 0.3378
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+ - Accuracy: 0.5102
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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 | 0.4138 | 0.2449 | 0.5 | 0.3288 | 0.4898 |
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+ | No log | 1.0 | 29 | 0.2496 | 0.2551 | 0.5 | 0.3378 | 0.5102 |
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  ### Framework versions
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