Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: microsoft/resnet-50
+base_model: MF21377197/resnet-50-finetuned-eurosat
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # resnet-50-finetuned-eurosat
 
-This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
+This model is a fine-tuned version of [MF21377197/resnet-50-finetuned-eurosat](https://huggingface.co/MF21377197/resnet-50-finetuned-eurosat) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 27.8200
-- Accuracy: 0.4586
+- Loss: 12.9670
+- Accuracy: 0.5204
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -46,15 +46,24 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 17.864        | 1.0   | 351  | 37.0194         | 0.3406   |
-| 21.4745       | 2.0   | 703  | 30.5948         | 0.4214   |
-| 14.2161       | 2.99  | 1053 | 27.8200         | 0.4586   |
+| 19.4471       | 1.0   | 351  | 25.2381         | 0.4514   |
+| 14.378        | 2.0   | 703  | 24.5923         | 0.4594   |
+| 20.7257       | 3.0   | 1055 | 24.3360         | 0.4706   |
+| 23.0579       | 4.0   | 1407 | 17.9277         | 0.479    |
+| 16.7616       | 5.0   | 1758 | 24.0013         | 0.4808   |
+| 13.2407       | 6.0   | 2110 | 16.8144         | 0.4888   |
+| 12.5439       | 7.0   | 2462 | 10.8161         | 0.496    |
+| 10.301        | 8.0   | 2814 | 14.1573         | 0.5066   |
+| 18.2068       | 9.0   | 3165 | 15.7831         | 0.5054   |
+| 5.7088        | 10.0  | 3517 | 14.3309         | 0.512    |
+| 18.9725       | 11.0  | 3869 | 21.6578         | 0.5284   |
+| 16.9049       | 11.97 | 4212 | 12.9670         | 0.5204   |
 
 
 ### Framework versions

runs/Apr06_14-56-42_7d5f5dbc2ee6/events.out.tfevents.1712415416.7d5f5dbc2ee6.1832.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7213e9a51c9fccba069b52a989fe50a0d0f61638adf614c4f620c3454c05a49d
-size 89996
+oid sha256:5b36d30e27592d65a0d54c49c19e9978eb04ed93ab8f327b9156e0851a1f7b66
+size 98058