End of training

README.md

@@ -4,7 +4,7 @@ base_model: facebook/convnext-large-224-22k-1k
 tags:
 - generated_from_trainer
 datasets:
-- imagenet_10
+- amazonian_fish_classifier_data
 metrics:
 - accuracy
 model-index:
@@ -14,15 +14,15 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagenet_10
-      type: imagenet_10
+      name: amazonian_fish_classifier_data
+      type: amazonian_fish_classifier_data
       config: default
-      split: train[:7000]
+      split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9942857142857143
+      value: 0.9218241042345277
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # image_classification
 
-This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the imagenet_10 dataset.
+This model is a fine-tuned version of [facebook/convnext-large-224-22k-1k](https://huggingface.co/facebook/convnext-large-224-22k-1k) on the amazonian_fish_classifier_data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0357
-- Accuracy: 0.9943
+- Loss: 0.3360
+- Accuracy: 0.9218
 
 ## Model description
 
@@ -64,16 +64,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 330  | 0.0637          | 0.9843   |
-| 0.0602        | 2.0   | 660  | 0.0664          | 0.9821   |
-| 0.0602        | 3.0   | 990  | 0.0843          | 0.9843   |
-| 0.0468        | 4.0   | 1320 | 0.0452          | 0.9879   |
-| 0.0313        | 5.0   | 1650 | 0.0347          | 0.9914   |
-| 0.0313        | 6.0   | 1980 | 0.0432          | 0.9914   |
-| 0.0232        | 7.0   | 2310 | 0.0314          | 0.99     |
-| 0.0223        | 8.0   | 2640 | 0.0337          | 0.9921   |
-| 0.0223        | 9.0   | 2970 | 0.0381          | 0.99     |
-| 0.0177        | 10.0  | 3300 | 0.0321          | 0.9921   |
+| No log        | 1.0   | 145  | 0.7168          | 0.8143   |
+| No log        | 2.0   | 290  | 0.6045          | 0.8485   |
+| No log        | 3.0   | 435  | 0.5271          | 0.8648   |
+| 0.7125        | 4.0   | 580  | 0.4560          | 0.8827   |
+| 0.7125        | 5.0   | 725  | 0.4548          | 0.8876   |
+| 0.7125        | 6.0   | 870  | 0.4480          | 0.8827   |
+| 0.3229        | 7.0   | 1015 | 0.4314          | 0.9007   |
+| 0.3229        | 8.0   | 1160 | 0.3855          | 0.9137   |
+| 0.3229        | 9.0   | 1305 | 0.4026          | 0.9039   |
+| 0.3229        | 10.0  | 1450 | 0.4106          | 0.8958   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff4a212cb05c6f76011bcfc133c977d895e53b47d2a4c5af17c8b51fd76343ce
+oid sha256:05dc6ec91faab3356cab6985013c983393a3b44aff1c71a0fafac856c7ac0459
 size 785242925