Training in progress epoch 0

README.md

@@ -1,6 +1,6 @@
 ---
 license: other
-base_model: nvidia/segformer-b0-finetuned-ade-512-512
+base_model: nvidia/mit-b0
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # Omar280X/printed_ID_Segmentation_1
 
-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.
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4394
-- Validation Loss: 0.8952
-- Epoch: 7
+- Train Loss: 0.3885
+- Validation Loss: 1.1158
+- Epoch: 0
 
 ## Model description
 
@@ -36,21 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 2.9795117e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.5008     | 0.7969          | 0     |
-| 0.5141     | 0.8500          | 1     |
-| 0.4951     | 0.8645          | 2     |
-| 0.5021     | 0.7065          | 3     |
-| 0.5198     | 0.7114          | 4     |
-| 0.4935     | 0.7153          | 5     |
-| 0.4840     | 0.7345          | 6     |
-| 0.4394     | 0.8952          | 7     |
+| 0.3885     | 1.1158          | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "nvidia/segformer-b0-finetuned-ade-512-512",
+  "_name_or_path": "nvidia/mit-b0",
   "architectures": [
     "SegformerForSemanticSegmentation"
   ],

preprocessor_config.json

@@ -1,6 +1,6 @@
 {
   "do_normalize": true,
-  "do_reduce_labels": true,
+  "do_reduce_labels": false,
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:082e2fe5ff45c78b7420018acaea9905d22ff1994c4a95b205399d9e8946443b
+oid sha256:2e0a86b3fab46d5cf9b53fa2fb5862809d4006019d1f7cfa2d94dd178294b02b
 size 15133552