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2_Dense/pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 2364028

README.md

@@ -46,9 +46,9 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 24170 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 38671 with parameters:
 ```
-{'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+{'batch_size': 10, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
 
 **Loss**:
@@ -62,7 +62,7 @@ Parameters of the fit()-Method:
 ```
 {
     "epochs": 1,
-    "evaluation_steps": 20,
+    "evaluation_steps": 100,
     "evaluator": "__main__.ChainScoreEvaluator",
     "max_grad_norm": 1,
     "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
@@ -71,7 +71,7 @@ Parameters of the fit()-Method:
     },
     "scheduler": "warmupcosine",
     "steps_per_epoch": null,
-    "warmup_steps": 0,
+    "warmup_steps": 1000,
     "weight_decay": 0.01
 }
 ```

config.json

@@ -25,7 +25,7 @@
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.37.0",
+  "transformers_version": "4.37.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 501153

model.safetensors

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