End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8109965635738832
+      value: 0.8623853211009175
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1927
-- Accuracy: 0.8110
+- Loss: 0.7981
+- Accuracy: 0.8624
 
 ## Model description
 
@@ -54,23 +54,30 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 256
 - 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: 10
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.9333        | 0.9756 | 20   | 1.7323          | 0.7663   |
-| 1.449         | 2.0    | 41   | 1.3147          | 0.8007   |
-| 1.2432        | 2.9268 | 60   | 1.1927          | 0.8110   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 8    | 2.2682          | 0.3383   |
+| 2.3684        | 2.0   | 16   | 1.9344          | 0.6869   |
+| 2.0258        | 3.0   | 24   | 1.6364          | 0.7901   |
+| 1.6828        | 4.0   | 32   | 1.3840          | 0.8165   |
+| 1.3866        | 5.0   | 40   | 1.1854          | 0.8222   |
+| 1.3866        | 6.0   | 48   | 1.0353          | 0.8337   |
+| 1.1679        | 7.0   | 56   | 0.9255          | 0.8521   |
+| 1.021         | 8.0   | 64   | 0.8538          | 0.8567   |
+| 0.9338        | 9.0   | 72   | 0.8123          | 0.8612   |
+| 0.8718        | 10.0  | 80   | 0.7981          | 0.8624   |
 
 
 ### Framework versions

runs/Oct22_07-56-11_ca973c29ba32/events.out.tfevents.1729585981.ca973c29ba32.33741.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecebe45bbf52fbedc3cab8c3bf32bc2a48018d0e635aa39a2591fec5469c1d46
+size 405