🚧 (model): fine-tune model: 64 epochs, 16 batch size

README.md

@@ -82,9 +82,9 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`torch.utils.data.dataloader.DataLoader` of length 10008 with parameters:
+`torch.utils.data.dataloader.DataLoader` of length 6387 with parameters:
 ```
-{'batch_size': 10, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
+{'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
 ```
 
 **Loss**:
@@ -94,7 +94,7 @@ The model was trained with the parameters:
 Parameters of the fit()-Method:
 ```
 {
-    "epochs": 20,
+    "epochs": 64,
     "evaluation_steps": 0,
     "evaluator": "NoneType",
     "max_grad_norm": 1,

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:43c51ca5a417449e2ed590a618ed469a426f766ea6974a9600393a84c56fedee
 size 1112244081