mse=0.0240

README.md

@@ -8,31 +8,36 @@ tags:
 - loss:CosineSimilarityLoss
 base_model: sentence-transformers/all-mpnet-base-v2
 widget:
-- source_sentence: Build type system for programming language from scratch
+- source_sentence: Frontend performance optimization including lazy loading, code
+    splitting, caching
   sentences:
-  - Uses TypeScript for type-safe JavaScript
-  - Led architecture decision meetings resulting in consensus
-  - Integrated Stripe, PayPal, and custom payment solutions
-- source_sentence: Privacy engineering skills
+  - Optimized React applications with code splitting reducing initial load by 60%
+  - Implemented mutation testing successfully
+  - Designed event-driven architecture using RabbitMQ with dead letter queues
+- source_sentence: Git version control proficiency with branching strategies and pull
+    request workflows
   sentences:
-  - Implemented differential privacy
-  - Technical implementation without vendor management
-  - Created developer-friendly APIs with Swagger docs
-- source_sentence: Privacy Pass, privacy protocol
+  - Daily Git user, implemented GitFlow branching model, reviewed hundreds of pull
+    requests
+  - PWA manifest configuration expertise
+  - Used ExecutorService and CompletableFuture effectively
+- source_sentence: Self-motivation to stay current with industry trends and emerging
+    technologies
   sentences:
-  - Modern development tools only
-  - Excellent at breaking down complex topics for junior developers
-  - Privacy-preserving authentication methods
-- source_sentence: JVM tuning and profiling
+  - Java developer using CompletableFuture and streams for concurrent programming
+  - Pinecone, Weaviate vector databases
+  - Completed 5 online certifications last year and contributed to open-source projects
+- source_sentence: Conflict resolution skills in technical discussions and architecture
+    decisions
   sentences:
-  - Performance monitoring patterns
-  - Optimized GC settings reducing pause times
-  - Senior developer with proven track record debugging distributed system race conditions
-- source_sentence: Knowledge sharing enthusiasm
+  - Comprehensive API testing with Postman/Newman
+  - Facilitates productive technical debates leading to consensus on design choices
+  - Monitored service health with alerts
+- source_sentence: Origin Rules, backend config
   sentences:
-  - Regular meetup speaker and blogger
-  - Optimized Spark jobs processing terabytes of data daily
-  - Configured database partitioning
+  - Origin server configuration patterns
+  - Functional programmer using F# for financial domain modeling
+  - Content writer with blog experience
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 metrics:
@@ -49,10 +54,10 @@ model-index:
       type: val
     metrics:
     - type: pearson_cosine
-      value: 0.8977247913414342
+      value: 0.8944877836968456
       name: Pearson Cosine
     - type: spearman_cosine
-      value: 0.8052388814564073
+      value: 0.8039152046120273
       name: Spearman Cosine
 ---
 
@@ -105,9 +110,9 @@ from sentence_transformers import SentenceTransformer
 model = SentenceTransformer("sentence_transformers_model_id")
 # Run inference
 sentences = [
-    'Knowledge sharing enthusiasm',
-    'Regular meetup speaker and blogger',
-    'Configured database partitioning',
+    'Origin Rules, backend config',
+    'Origin server configuration patterns',
+    'Content writer with blog experience',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
@@ -154,8 +159,8 @@ You can finetune this model on your own dataset.
 
 | Metric              | Value      |
 |:--------------------|:-----------|
-| pearson_cosine      | 0.8977     |
-| **spearman_cosine** | **0.8052** |
+| pearson_cosine      | 0.8945     |
+| **spearman_cosine** | **0.8039** |
 
 <!--
 ## Bias, Risks and Limitations
@@ -181,13 +186,13 @@ You can finetune this model on your own dataset.
   |         | sentence_0                                                                       | sentence_1                                                                        | label                                                          |
   |:--------|:---------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------|
   | type    | string                                                                           | string                                                                            | float                                                          |
-  | details | <ul><li>min: 4 tokens</li><li>mean: 9.74 tokens</li><li>max: 27 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 11.06 tokens</li><li>max: 24 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.67</li><li>max: 1.0</li></ul> |
+  | details | <ul><li>min: 4 tokens</li><li>mean: 9.86 tokens</li><li>max: 23 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 10.97 tokens</li><li>max: 24 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.64</li><li>max: 1.0</li></ul> |
 * Samples:
-  | sentence_0                                                                 | sentence_1                                                                 | label            |
-  |:---------------------------------------------------------------------------|:---------------------------------------------------------------------------|:-----------------|
-  | <code>Boundary-value testing and equivalence partitioning expertise</code> | <code>QA engineer designing test cases with boundary value analysis</code> | <code>0.9</code> |
-  | <code>Must have strong decision-making skills</code>                       | <code>Makes timely decisions based on available information</code>         | <code>0.7</code> |
-  | <code>8+ years building real-time collaboration tools</code>               | <code>Traditional request-response application development</code>          | <code>0.2</code> |
+  | sentence_0                                                    | sentence_1                                                        | label            |
+  |:--------------------------------------------------------------|:------------------------------------------------------------------|:-----------------|
+  | <code>Performance testing tools</code>                        | <code>Consistent Lighthouse score improvements</code>             | <code>0.9</code> |
+  | <code>Responsibility never shirked</code>                     | <code>Never irresponsible, always accountable, duty keeper</code> | <code>0.9</code> |
+  | <code>Experience with distributed consensus algorithms</code> | <code>Academic researcher in distributed systems theory</code>    | <code>0.4</code> |
 * Loss: [<code>CosineSimilarityLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosinesimilarityloss) with these parameters:
   ```json
   {
@@ -326,17 +331,17 @@ You can finetune this model on your own dataset.
 ### Training Logs
 | Epoch  | Step | val_spearman_cosine |
 |:------:|:----:|:-------------------:|
-| 0.5208 | 50   | 0.6737              |
-| 1.0    | 96   | 0.7384              |
-| 1.0417 | 100  | 0.7431              |
-| 1.5625 | 150  | 0.7703              |
-| 2.0    | 192  | 0.7790              |
-| 2.0833 | 200  | 0.7817              |
-| 2.6042 | 250  | 0.8011              |
-| 3.0    | 288  | 0.7967              |
-| 3.125  | 300  | 0.7963              |
-| 3.6458 | 350  | 0.8046              |
-| 4.0    | 384  | 0.8052              |
+| 0.5208 | 50   | 0.6705              |
+| 1.0    | 96   | 0.7258              |
+| 1.0417 | 100  | 0.7347              |
+| 1.5625 | 150  | 0.7621              |
+| 2.0    | 192  | 0.7815              |
+| 2.0833 | 200  | 0.7823              |
+| 2.6042 | 250  | 0.7885              |
+| 3.0    | 288  | 0.8023              |
+| 3.125  | 300  | 0.8012              |
+| 3.6458 | 350  | 0.8035              |
+| 4.0    | 384  | 0.8039              |
 
 
 ### Framework Versions

eval/similarity_evaluation_val_results.csv

@@ -1,5 +1,5 @@
 epoch,steps,cosine_pearson,cosine_spearman
-1.0,96,0.8272483418053012,0.7384040919120075
-2.0,192,0.8806144722889805,0.7789630856263889
-3.0,288,0.8940053252264049,0.7967165513263559
-4.0,384,0.8977247913414342,0.8052388814564073
+1.0,96,0.8246132386236589,0.7258432278825692
+2.0,192,0.8747130077761142,0.7814918161144916
+3.0,288,0.8917155059609527,0.8023055594486815
+4.0,384,0.8944877836968456,0.8039152046120273

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:628af632e016d61b250d100cdf4a3b0b13f3c1b2802767ceea7fd31e83f3ebfa
+oid sha256:3027997d304a9a29611ddd1da76cb28a434325115857204697bd012b7115bb23
 size 437967672