matthieulel
/

convnextv2-tiny-1k-224-finetuned-galaxy10-decals

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4169
-- Accuracy: 0.8673
 ## Model description
@@ -46,27 +46,37 @@ 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: 10
 ### Training results
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.0664        | 0.9978 | 112  | 0.9818          | 0.6725   |
-| 0.8019        | 1.9955 | 224  | 0.6333          | 0.7990   |
-| 0.6524        | 2.9933 | 336  | 0.5248          | 0.8341   |
-| 0.6339        | 4.0    | 449  | 0.4731          | 0.8447   |
-| 0.5178        | 4.9978 | 561  | 0.4537          | 0.8503   |
-| 0.5907        | 5.9955 | 673  | 0.4556          | 0.8472   |
-| 0.5292        | 6.9933 | 785  | 0.4169          | 0.8673   |
-| 0.5017        | 8.0    | 898  | 0.4107          | 0.8597   |
-| 0.4605        | 8.9978 | 1010 | 0.4062          | 0.8635   |
-| 0.4765        | 9.9777 | 1120 | 0.3980          | 0.8647   |
 ### Framework versions
-- Transformers 4.40.0
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
 - Tokenizers 0.19.1

 This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4261
+- Accuracy: 0.8703
 ## Model description
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
 ### Training results
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 1.4287        | 0.9940  | 124  | 1.2978          | 0.5851   |
+| 0.8329        | 1.9960  | 249  | 0.6987          | 0.7728   |
+| 0.7348        | 2.9980  | 374  | 0.5659          | 0.8179   |
+| 0.611         | 4.0     | 499  | 0.5379          | 0.8298   |
+| 0.5929        | 4.9940  | 623  | 0.4972          | 0.8377   |
+| 0.5227        | 5.9960  | 748  | 0.4715          | 0.8478   |
+| 0.5166        | 6.9980  | 873  | 0.4761          | 0.8495   |
+| 0.4992        | 8.0     | 998  | 0.4320          | 0.8563   |
+| 0.4528        | 8.9940  | 1122 | 0.4410          | 0.8641   |
+| 0.4566        | 9.9960  | 1247 | 0.4297          | 0.8641   |
+| 0.4294        | 10.9980 | 1372 | 0.4282          | 0.8608   |
+| 0.3771        | 12.0    | 1497 | 0.4546          | 0.8546   |
+| 0.4224        | 12.9940 | 1621 | 0.4489          | 0.8625   |
+| 0.4099        | 13.9960 | 1746 | 0.4411          | 0.8625   |
+| 0.3759        | 14.9980 | 1871 | 0.4317          | 0.8653   |
+| 0.3692        | 16.0    | 1996 | 0.4304          | 0.8630   |
+| 0.364         | 16.9940 | 2120 | 0.4330          | 0.8664   |
+| 0.3636        | 17.9960 | 2245 | 0.4250          | 0.8681   |
+| 0.3396        | 18.9980 | 2370 | 0.4275          | 0.8675   |
+| 0.3057        | 19.8798 | 2480 | 0.4261          | 0.8703   |
 ### Framework versions
+- Transformers 4.40.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.19.1
 - Tokenizers 0.19.1