Updating model weights

README.md

@@ -35,30 +35,6 @@ widget:
   - knicers
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
-metrics:
-- cosine_accuracy
-model-index:
-- name: SentenceTransformer
-  results:
-  - task:
-      type: triplet
-      name: Triplet
-    dataset:
-      name: Unknown
-      type: unknown
-    metrics:
-    - type: cosine_accuracy
-      value: 0.9632667899131775
-      name: Cosine Accuracy
-    - type: cosine_accuracy
-      value: 0.9632217288017273
-      name: Cosine Accuracy
-    - type: cosine_accuracy
-      value: 0.9632217288017273
-      name: Cosine Accuracy
-    - type: cosine_accuracy
-      value: 0.9583539962768555
-      name: Cosine Accuracy
 ---
 
 # SentenceTransformer
@@ -122,9 +98,9 @@ print(embeddings.shape)
 # Get the similarity scores for the embeddings
 similarities = model.similarity(embeddings, embeddings)
 print(similarities)
-# tensor([[1.0000, 0.8800, 0.2118],
-#         [0.8800, 1.0000, 0.2279],
-#         [0.2118, 0.2279, 1.0000]])
+# tensor([[1.0000, 0.8987, 0.4413],
+#         [0.8987, 1.0000, 0.4401],
+#         [0.4413, 0.4401, 1.0000]])
 ```
 
 <!--
@@ -151,42 +127,6 @@ You can finetune this model on your own dataset.
 *List how the model may foreseeably be misused and address what users ought not to do with the model.*
 -->
 
-## Evaluation
-
-### Metrics
-
-#### Triplet
-
-* Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
-
-| Metric              | Value      |
-|:--------------------|:-----------|
-| **cosine_accuracy** | **0.9633** |
-
-#### Triplet
-
-* Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
-
-| Metric              | Value      |
-|:--------------------|:-----------|
-| **cosine_accuracy** | **0.9632** |
-
-#### Triplet
-
-* Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
-
-| Metric              | Value      |
-|:--------------------|:-----------|
-| **cosine_accuracy** | **0.9632** |
-
-#### Triplet
-
-* Evaluated with [<code>TripletEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TripletEvaluator)
-
-| Metric              | Value      |
-|:--------------------|:-----------|
-| **cosine_accuracy** | **0.9584** |
-
 <!--
 ## Bias, Risks and Limitations
 
@@ -234,7 +174,7 @@ You can finetune this model on your own dataset.
 - `per_device_eval_batch_size`: 16
 - `learning_rate`: 2e-05
 - `weight_decay`: 0.001
-- `num_train_epochs`: 5
+- `num_train_epochs`: 2
 - `warmup_ratio`: 0.2
 - `fp16`: True
 - `dataloader_num_workers`: 2
@@ -265,7 +205,7 @@ You can finetune this model on your own dataset.
 - `adam_beta2`: 0.999
 - `adam_epsilon`: 1e-08
 - `max_grad_norm`: 1.0
-- `num_train_epochs`: 5
+- `num_train_epochs`: 2
 - `max_steps`: -1
 - `lr_scheduler_type`: linear
 - `lr_scheduler_kwargs`: {}
@@ -369,26 +309,11 @@ You can finetune this model on your own dataset.
 </details>
 
 ### Training Logs
-| Epoch  | Step | Training Loss | cosine_accuracy |
-|:------:|:----:|:-------------:|:---------------:|
-| -1     | -1   | -             | 0.9633          |
-| 0.0233 | 1    | 2.5914        | -               |
-| 1.0    | 43   | 2.1651        | -               |
-| 2.0    | 86   | 1.6946        | -               |
-| -1     | -1   | -             | 0.9632          |
-| 0.0233 | 1    | 1.4613        | -               |
-| 1.0    | 43   | 1.3255        | -               |
-| 2.0    | 86   | 1.2934        | -               |
-| 3.0    | 129  | 1.1581        | -               |
-| 4.0    | 172  | 1.013         | -               |
-| 5.0    | 215  | 0.9318        | -               |
-| -1     | -1   | -             | 0.9584          |
-| 0.0233 | 1    | 0.6549        | -               |
-| 1.0    | 43   | 0.5541        | -               |
-| 2.0    | 86   | 0.5269        | -               |
-| 3.0    | 129  | 0.6036        | -               |
-| 4.0    | 172  | 0.6677        | -               |
-| 5.0    | 215  | 0.7634        | -               |
+| Epoch  | Step | Training Loss |
+|:------:|:----:|:-------------:|
+| 0.0233 | 1    | 2.5914        |
+| 1.0    | 43   | 2.3934        |
+| 2.0    | 86   | 2.1957        |
 
 
 ### Framework Versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc37eec69b2ff11f042f540df2c67334dcbc3b1136928fbe97bd822b81badf28
+oid sha256:67b5511203a1194877fcbf65cb7d621a61f163cf8cc57517bf182b79c63e335c
 size 90864192