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End of training

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  1. README.md +6 -6
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@@ -5,18 +5,18 @@ base_model: intfloat/multilingual-e5-base
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: fine-tuned-e5
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # fine-tuned-e5
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  This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0057
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  ## Model description
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@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.0478 | 1.0 | 3944 | 0.0143 |
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- | 0.0002 | 2.0 | 7888 | 0.0068 |
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- | 0.0001 | 3.0 | 11832 | 0.0057 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: fine-tuned-e5_v2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # fine-tuned-e5_v2
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  This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0119
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.0012 | 1.0 | 3944 | 0.0300 |
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+ | 0.0002 | 2.0 | 7888 | 0.0111 |
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+ | 0.0 | 3.0 | 11832 | 0.0119 |
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  ### Framework versions