Update README.md

README.md

@@ -84,40 +84,6 @@ For an automated evaluation of this model, see the *Sentence Embeddings Benchmar
 ## Training
 The model was trained with the parameters:
 
-**DataLoader**:
-
-`sentence_transformers.datasets.NoDuplicatesDataLoader.NoDuplicatesDataLoader` of length 36 with parameters:
-```
-{'batch_size': 512}
-```
-
-**Loss**:
-
-`GIST.CachedGISTEmbedLoss.CachedGISTEmbedLoss` with parameters:
-  ```
-  {'guide': SentenceTransformer(
-  (0): Transformer({'max_seq_length': 256, '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, 'include_prompt': True})
-), 'temperature': 0.05}
-  ```
-
-Parameters of the fit()-Method:
-```
-{
-    "epochs": 10,
-    "evaluation_steps": 10,
-    "evaluator": "sentence_transformers.evaluation.InformationRetrievalEvaluator.InformationRetrievalEvaluator",
-    "max_grad_norm": 1,
-    "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
-    "optimizer_params": {
-        "lr": 1e-05
-    },
-    "scheduler": "warmuplinear",
-    "steps_per_epoch": null,
-    "warmup_steps": 36,
-    "weight_decay": 0.01
-}
-```
 
 
 ## Full Model Architecture