End of training

README.md

@@ -4,6 +4,11 @@ license: mit
 base_model: BAAI/bge-small-en-v1.5
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: synthetic
   results: []
@@ -15,6 +20,12 @@ 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: 0.1229
+- Precision: 0.9283
+- Recall: 0.9154
+- F1: 0.9218
+- Accuracy: 0.9814
 
 ## Model description
 
@@ -43,6 +54,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0166        | 1.0   | 2503 | 0.1270          | 0.9181    | 0.8955 | 0.9067 | 0.9796   |
+| 0.0106        | 2.0   | 5006 | 0.1287          | 0.9232    | 0.9121 | 0.9176 | 0.9804   |
+| 0.0141        | 3.0   | 7509 | 0.1229          | 0.9283    | 0.9154 | 0.9218 | 0.9814   |
 
 
 ### Framework versions

model.safetensors

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 size 132885604

runs/Apr07_21-41-35_0f88468c08ca/events.out.tfevents.1744062096.0f88468c08ca.548.22

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training_args.bin

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