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README.md

@@ -189,7 +189,7 @@ model-index:
       split: test
     metrics:
     - type: accuracy
-      value: 0.6289644631257165
+      value: 0.009170806266717615
       name: Accuracy
 ---
 
@@ -272,7 +272,7 @@ The model has been trained using an efficient few-shot learning technique that i
 ### Metrics
 | Label   | Accuracy |
 |:--------|:---------|
-| **all** | 0.6290   |
+| **all** | 0.0092   |
 
 ## Uses
 
@@ -373,8 +373,8 @@ preds = model("##rch procedure that evaluates the objective function p x display
 | 42    | 10                    |
 
 ### Training Hyperparameters
-- batch_size: (8, 8)
-- num_epochs: (1, 1)
+- batch_size: (16, 16)
+- num_epochs: (2, 2)
 - max_steps: -1
 - sampling_strategy: oversampling
 - num_iterations: 10
@@ -383,7 +383,7 @@ preds = model("##rch procedure that evaluates the objective function p x display
 - loss: CosineSimilarityLoss
 - distance_metric: cosine_distance
 - margin: 0.25
-- end_to_end: False
+- end_to_end: True
 - use_amp: False
 - warmup_proportion: 0.1
 - max_length: 512
@@ -392,13 +392,12 @@ preds = model("##rch procedure that evaluates the objective function p x display
 - load_best_model_at_end: True
 
 ### Training Results
-| Epoch      | Step     | Training Loss | Validation Loss |
-|:----------:|:--------:|:-------------:|:---------------:|
-| 0.0009     | 1        | 0.4081        | -               |
-| 0.4651     | 500      | 0.0853        | -               |
-| **0.9302** | **1000** | **0.0057**    | **0.1312**      |
+| Epoch  | Step | Training Loss | Validation Loss |
+|:------:|:----:|:-------------:|:---------------:|
+| 0.0019 | 1    | 0.2819        | -               |
+| 0.9294 | 500  | 0.0065        | -               |
+| 1.8587 | 1000 | 0.0049        | -               |
 
-* The bold row denotes the saved checkpoint.
 ### Framework Versions
 - Python: 3.10.12
 - SetFit: 1.0.3

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/content/multi-qa-mpnet-base-cos-v1-test/step_1000",
+  "_name_or_path": "sentence-transformers/multi-qa-mpnet-base-cos-v1",
   "architectures": [
     "MPNetModel"
   ],

config_setfit.json

@@ -1,4 +1,4 @@
 {
-  "labels": null,
-  "normalize_embeddings": false
+  "normalize_embeddings": false,
+  "labels": null
 }

model.safetensors

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model_head.pkl

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