Update README.md

README.md

@@ -60,18 +60,6 @@ widget:
 
     [Recoded Cell Factories](http://m.phys.org/news/2015-09-recoded-cells-factories-proteins.html)
     | [Reddit](https://www.reddit.com/r/EverythingScience/comments/3krux3/researchers_transform_recoded_cells_into/)'
-  - I do not expect things to work out for me.
-- source_sentence: Do you feel sad or unhappy?
-  sentences:
-  - Me everyday im depressing
-  - And now I feel very alone and useless.
-  - Sucks that I'm not the only one because others are suffering, but it's nice to
-    know I'm not alone.
-- source_sentence: Do you feel sad or unhappy?
-  sentences:
-  - I cried because I lost not only my money, but because I lost myself.
-  - Im not exactly depressed, at least not all of the time.
-  - does anyone feel like they cant be sad
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 ---
@@ -126,9 +114,9 @@ from sentence_transformers import SentenceTransformer
 model = SentenceTransformer("FritzStack/mpnet_MH_embedding")
 # Run inference
 sentences = [
-    'Do you feel sad or unhappy?',
-    'Im not exactly depressed, at least not all of the time.',
-    'does anyone feel like they cant be sad',
+    '',
+    '',
+    '',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
@@ -137,9 +125,6 @@ print(embeddings.shape)
 # Get the similarity scores for the embeddings
 similarities = model.similarity(embeddings, embeddings)
 print(similarities)
-# tensor([[ 1.0000,  0.7532, -0.4572],
-#         [ 0.7532,  1.0000, -0.0545],
-#         [-0.4572, -0.0545,  1.0000]])
 ```
 
 <!--
@@ -182,28 +167,6 @@ You can finetune this model on your own dataset.
 
 ### Training Dataset
 
-#### Unnamed Dataset
-
-* Size: 4,615 training samples
-* Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
-* Approximate statistics based on the first 1000 samples:
-  |         | anchor                                                                            | positive                                                                          | negative                                                                           |
-  |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
-  | type    | string                                                                            | string                                                                            | string                                                                             |
-  | details | <ul><li>min: 9 tokens</li><li>mean: 13.63 tokens</li><li>max: 17 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 20.7 tokens</li><li>max: 169 tokens</li></ul> | <ul><li>min: 4 tokens</li><li>mean: 42.11 tokens</li><li>max: 384 tokens</li></ul> |
-* Samples:
-  | anchor                                   | positive                                  | negative                                                                                                                                                          |
-  |:-----------------------------------------|:------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-  | <code>Do you feel sad or unhappy?</code> | <code>I do not feel sad.</code>           | <code>I've been suffering my whole life, and it's currently at its peak :(</code>                                                                                 |
-  | <code>Do you feel sad or unhappy?</code> | <code>I feel sad much of the time.</code> | <code>Things will get better, just focus more in the positive rather than the negative</code>                                                                     |
-  | <code>Do you feel sad or unhappy?</code> | <code>I am sad all the time.</code>       | <code>That's why I understand I'm terrible, because it's wrong I get annoyed by that, people should do what they want, but I just can't stand being alone.</code> |
-* Loss: [<code>TripletLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#tripletloss) with these parameters:
-  ```json
-  {
-      "distance_metric": "TripletDistanceMetric.COSINE",
-      "triplet_margin": 0.5
-  }
-  ```
 
 ### Training Hyperparameters
 #### Non-Default Hyperparameters
@@ -338,96 +301,6 @@ You can finetune this model on your own dataset.
 
 </details>
 
-### Training Logs
-| Epoch  | Step | Training Loss |
-|:------:|:----:|:-------------:|
-| 0.0347 | 10   | 0.3032        |
-| 0.0693 | 20   | 0.2893        |
-| 0.1040 | 30   | 0.2275        |
-| 0.1386 | 40   | 0.1532        |
-| 0.1733 | 50   | 0.1947        |
-| 0.2080 | 60   | 0.1126        |
-| 0.2426 | 70   | 0.1047        |
-| 0.2773 | 80   | 0.1118        |
-| 0.3120 | 90   | 0.0839        |
-| 0.3466 | 100  | 0.1147        |
-| 0.3813 | 110  | 0.111         |
-| 0.4159 | 120  | 0.0754        |
-| 0.4506 | 130  | 0.0964        |
-| 0.4853 | 140  | 0.1269        |
-| 0.5199 | 150  | 0.0795        |
-| 0.5546 | 160  | 0.1042        |
-| 0.5893 | 170  | 0.0797        |
-| 0.6239 | 180  | 0.0685        |
-| 0.6586 | 190  | 0.0819        |
-| 0.6932 | 200  | 0.0802        |
-| 0.7279 | 210  | 0.0934        |
-| 0.7626 | 220  | 0.0865        |
-| 0.7972 | 230  | 0.0731        |
-| 0.8319 | 240  | 0.0486        |
-| 0.8666 | 250  | 0.075         |
-| 0.9012 | 260  | 0.0627        |
-| 0.9359 | 270  | 0.0844        |
-| 0.9705 | 280  | 0.0776        |
-| 1.0035 | 290  | 0.0707        |
-| 1.0381 | 300  | 0.0479        |
-| 1.0728 | 310  | 0.05          |
-| 1.1075 | 320  | 0.0317        |
-| 1.1421 | 330  | 0.0263        |
-| 1.1768 | 340  | 0.0321        |
-| 1.2114 | 350  | 0.0221        |
-| 1.2461 | 360  | 0.0337        |
-| 1.2808 | 370  | 0.0301        |
-| 1.3154 | 380  | 0.034         |
-| 1.3501 | 390  | 0.0379        |
-| 1.3847 | 400  | 0.0489        |
-| 1.4194 | 410  | 0.0303        |
-| 1.4541 | 420  | 0.0263        |
-| 1.4887 | 430  | 0.0342        |
-| 1.5234 | 440  | 0.0328        |
-| 1.5581 | 450  | 0.0431        |
-| 1.5927 | 460  | 0.0472        |
-| 1.6274 | 470  | 0.0353        |
-| 1.6620 | 480  | 0.0389        |
-| 1.6967 | 490  | 0.0216        |
-| 1.7314 | 500  | 0.0351        |
-| 1.7660 | 510  | 0.0386        |
-| 1.8007 | 520  | 0.039         |
-| 1.8354 | 530  | 0.0264        |
-| 1.8700 | 540  | 0.0295        |
-| 1.9047 | 550  | 0.0329        |
-| 1.9393 | 560  | 0.0487        |
-| 1.9740 | 570  | 0.0287        |
-| 2.0069 | 580  | 0.0306        |
-| 2.0416 | 590  | 0.0171        |
-| 2.0763 | 600  | 0.009         |
-| 2.1109 | 610  | 0.017         |
-| 2.1456 | 620  | 0.0252        |
-| 2.1802 | 630  | 0.0123        |
-| 2.2149 | 640  | 0.0144        |
-| 2.2496 | 650  | 0.0187        |
-| 2.2842 | 660  | 0.02          |
-| 2.3189 | 670  | 0.0065        |
-| 2.3536 | 680  | 0.0131        |
-| 2.3882 | 690  | 0.0138        |
-| 2.4229 | 700  | 0.0111        |
-| 2.4575 | 710  | 0.0108        |
-| 2.4922 | 720  | 0.0079        |
-| 2.5269 | 730  | 0.0062        |
-| 2.5615 | 740  | 0.0105        |
-| 2.5962 | 750  | 0.0095        |
-| 2.6308 | 760  | 0.0112        |
-| 2.6655 | 770  | 0.0052        |
-| 2.7002 | 780  | 0.0103        |
-| 2.7348 | 790  | 0.0108        |
-| 2.7695 | 800  | 0.0059        |
-| 2.8042 | 810  | 0.0099        |
-| 2.8388 | 820  | 0.0142        |
-| 2.8735 | 830  | 0.0112        |
-| 2.9081 | 840  | 0.0194        |
-| 2.9428 | 850  | 0.0128        |
-| 2.9775 | 860  | 0.0093        |
-
 
 ### Framework Versions
 - Python: 3.12.12