Update README.md

README.md

@@ -181,7 +181,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [s
 ### Model Description
 - **Model Type:** Sentence Transformer
 - **Base model:** [sentence-transformers/paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) <!-- at revision 75c57757a97f90ad739aca51fa8bfea0e485a7f2 -->
-- **Maximum Sequence Length:** 256 tokens
+- **Maximum Sequence Length:** 128 tokens
 - **Output Dimensionality:** 768 dimensions
 - **Similarity Function:** Cosine Similarity
 <!-- - **Training Dataset:** Unknown -->
@@ -198,7 +198,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [s
 
 ```
 SentenceTransformer(
-  (0): Transformer({'max_seq_length': 256, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
+  (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: XLMRobertaModel 
   (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
 )
 ```
@@ -297,7 +297,7 @@ You can finetune this model on your own dataset.
   |         | sentence1                                                                           | sentence2                                                                           | score                                                         |
   |:--------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:--------------------------------------------------------------|
   | type    | string                                                                              | string                                                                              | float                                                         |
-  | details | <ul><li>min: 19 tokens</li><li>mean: 37.07 tokens</li><li>max: 116 tokens</li></ul> | <ul><li>min: 14 tokens</li><li>mean: 66.53 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.5</li><li>max: 1.0</li></ul> |
+  | details | <ul><li>min: 19 tokens</li><li>mean: 37.07 tokens</li><li>max: 116 tokens</li></ul> | <ul><li>min: 14 tokens</li><li>mean: 66.53 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.5</li><li>max: 1.0</li></ul> |
 * Samples:
   | sentence1                                                                                                             | sentence2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            | score            |
   |:----------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
@@ -323,7 +323,7 @@ You can finetune this model on your own dataset.
   |         | sentence1                                                                           | sentence2                                                                           | score                                                         |
   |:--------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:--------------------------------------------------------------|
   | type    | string                                                                              | string                                                                              | float                                                         |
-  | details | <ul><li>min: 19 tokens</li><li>mean: 38.15 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 67.62 tokens</li><li>max: 256 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.5</li><li>max: 1.0</li></ul> |
+  | details | <ul><li>min: 19 tokens</li><li>mean: 38.15 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 11 tokens</li><li>mean: 67.62 tokens</li><li>max: 128 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.5</li><li>max: 1.0</li></ul> |
 * Samples:
   | sentence1                                                                                                  | sentence2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      | score            |
   |:-----------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
@@ -473,7 +473,7 @@ You can finetune this model on your own dataset.
 ### Training Logs
 | Epoch     | Step     | Training Loss | Validation Loss | spearman_cosine |
 |:---------:|:--------:|:-------------:|:---------------:|:---------------:|
-| 0.3793    | 256      | -             | 5.9158          | 0.8422          |
+| 0.3793    | 128      | -             | 5.9158          | 0.8422          |
 | 0.7407    | 500      | 5.9128        | -               | -               |
 | 0.7585    | 512      | -             | 5.6544          | 0.8537          |
 | 1.1378    | 768      | -             | 5.9536          | 0.8595          |
@@ -487,7 +487,7 @@ You can finetune this model on your own dataset.
 | 3.0341    | 2048     | -             | 6.3380          | 0.8682          |
 | 3.4133    | 2304     | -             | 6.9139          | 0.8676          |
 | 3.7037    | 2500     | 4.6428        | -               | -               |
-| 3.7926    | 2560     | -             | 6.7426          | 0.8676          |
+| 3.7926    | 1280     | -             | 6.7426          | 0.8676          |
 
 * The bold row denotes the saved checkpoint.