Training in progress epoch 7

README.md

@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4840
-- Validation Loss: 0.7345
-- Epoch: 6
+- Train Loss: 0.4394
+- Validation Loss: 0.8952
+- Epoch: 7
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 3.2928696e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 2.9795117e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.5198     | 0.7114          | 4     |
 | 0.4935     | 0.7153          | 5     |
 | 0.4840     | 0.7345          | 6     |
+| 0.4394     | 0.8952          | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:082e2fe5ff45c78b7420018acaea9905d22ff1994c4a95b205399d9e8946443b
 size 15133552