Model save

README.md

@@ -4,11 +4,6 @@ license: mit
 base_model: BAAI/bge-small-en-v1.5
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: synthetic
   results: []
@@ -20,12 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # synthetic
 
 This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0788
-- Precision: 0.9286
-- Recall: 0.9057
-- F1: 0.9170
-- Accuracy: 0.9821
 
 ## Model description
 
@@ -54,11 +43,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1173        | 1.0   | 2503 | 0.0909          | 0.9076    | 0.8732 | 0.8901 | 0.9775   |
-| 0.067         | 2.0   | 5006 | 0.0779          | 0.9229    | 0.9040 | 0.9133 | 0.9812   |
-| 0.0409        | 3.0   | 7509 | 0.0788          | 0.9286    | 0.9057 | 0.9170 | 0.9821   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2de0ade15d2ee742f5fe242fadab064f545b8f3869f9ef65c30ffd24d0bd01f1
 size 132885604