End of training

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4199070160608622
+      value: 0.5179628064243449
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2337
-- Accuracy: 0.4199
+- Loss: 1.1160
+- Accuracy: 0.5180
 
 ## Model description
 
@@ -59,13 +59,20 @@ 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: 1
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3729        | 1.0   | 148  | 1.2337          | 0.4199   |
+| 1.3947        | 1.0   | 148  | 1.2066          | 0.4372   |
+| 1.3332        | 2.0   | 296  | 1.1703          | 0.4734   |
+| 1.2637        | 3.0   | 444  | 1.1678          | 0.4780   |
+| 1.2277        | 4.0   | 592  | 1.1359          | 0.4996   |
+| 1.2704        | 5.0   | 740  | 1.1407          | 0.5002   |
+| 1.2099        | 6.0   | 888  | 1.1332          | 0.5131   |
+| 1.1858        | 7.0   | 1036 | 1.1704          | 0.4803   |
+| 1.156         | 8.0   | 1184 | 1.1160          | 0.5180   |
 
 
 ### Framework versions

model.safetensors

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 size 9095588

runs/Jan11_16-21-53_arnaud-Mouse-GPU/events.out.tfevents.1704957714.arnaud-Mouse-GPU.17544.0

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