Pushing fiqa sent bert gpl 60000 steps trained model

README.md

@@ -86,7 +86,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 35872 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 48151 with parameters:
 ```
 {'batch_size': 48, 'sampler': 'torch.utils.data.sampler.SequentialSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
@@ -107,7 +107,7 @@ Parameters of the fit()-Method:
         "lr": 2e-05
     },
     "scheduler": "WarmupLinear",
-    "steps_per_epoch": 60000,
+    "steps_per_epoch": 90000,
     "warmup_steps": 1000,
     "weight_decay": 0.01
 }
@@ -118,7 +118,7 @@ Parameters of the fit()-Method:
 ```
 SentenceTransformer(
   (0): Transformer({'max_seq_length': 350, 'do_lower_case': False}) with Transformer model: RobertaModel 
-  (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})
+  (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})
 )
 ```