End of training
Browse files
    	
        README.md
    CHANGED
    
    | 
         @@ -22,7 +22,7 @@ model-index: 
     | 
|
| 22 | 
         
             
                metrics:
         
     | 
| 23 | 
         
             
                - name: Accuracy
         
     | 
| 24 | 
         
             
                  type: accuracy
         
     | 
| 25 | 
         
            -
                  value: 0. 
     | 
| 26 | 
         
             
            ---
         
     | 
| 27 | 
         | 
| 28 | 
         
             
            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
         
     | 
| 
         @@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. --> 
     | 
|
| 32 | 
         | 
| 33 | 
         
             
            This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
         
     | 
| 34 | 
         
             
            It achieves the following results on the evaluation set:
         
     | 
| 35 | 
         
            -
            - Loss:  
     | 
| 36 | 
         
            -
            - Accuracy: 0. 
     | 
| 37 | 
         | 
| 38 | 
         
             
            ## Model description
         
     | 
| 39 | 
         | 
| 
         @@ -61,15 +61,24 @@ The following hyperparameters were used during training: 
     | 
|
| 61 | 
         
             
            - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
         
     | 
| 62 | 
         
             
            - lr_scheduler_type: linear
         
     | 
| 63 | 
         
             
            - lr_scheduler_warmup_ratio: 0.1
         
     | 
| 64 | 
         
            -
            - num_epochs:  
     | 
| 65 | 
         | 
| 66 | 
         
             
            ### Training results
         
     | 
| 67 | 
         | 
| 68 | 
         
             
            | Training Loss | Epoch | Step | Validation Loss | Accuracy |
         
     | 
| 69 | 
         
             
            |:-------------:|:-----:|:----:|:---------------:|:--------:|
         
     | 
| 70 | 
         
            -
            | 1. 
     | 
| 71 | 
         
            -
            | 1. 
     | 
| 72 | 
         
            -
            |  
     | 
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
|
| 73 | 
         | 
| 74 | 
         | 
| 75 | 
         
             
            ### Framework versions
         
     | 
| 
         | 
|
| 22 | 
         
             
                metrics:
         
     | 
| 23 | 
         
             
                - name: Accuracy
         
     | 
| 24 | 
         
             
                  type: accuracy
         
     | 
| 25 | 
         
            +
                  value: 0.6366906474820144
         
     | 
| 26 | 
         
             
            ---
         
     | 
| 27 | 
         | 
| 28 | 
         
             
            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
         
     | 
| 
         | 
|
| 32 | 
         | 
| 33 | 
         
             
            This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
         
     | 
| 34 | 
         
             
            It achieves the following results on the evaluation set:
         
     | 
| 35 | 
         
            +
            - Loss: 0.8091
         
     | 
| 36 | 
         
            +
            - Accuracy: 0.6367
         
     | 
| 37 | 
         | 
| 38 | 
         
             
            ## Model description
         
     | 
| 39 | 
         | 
| 
         | 
|
| 61 | 
         
             
            - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
         
     | 
| 62 | 
         
             
            - lr_scheduler_type: linear
         
     | 
| 63 | 
         
             
            - lr_scheduler_warmup_ratio: 0.1
         
     | 
| 64 | 
         
            +
            - num_epochs: 12
         
     | 
| 65 | 
         | 
| 66 | 
         
             
            ### Training results
         
     | 
| 67 | 
         | 
| 68 | 
         
             
            | Training Loss | Epoch | Step | Validation Loss | Accuracy |
         
     | 
| 69 | 
         
             
            |:-------------:|:-----:|:----:|:---------------:|:--------:|
         
     | 
| 70 | 
         
            +
            | 1.1311        | 0.96  | 19   | 1.0751          | 0.3813   |
         
     | 
| 71 | 
         
            +
            | 1.0477        | 1.97  | 39   | 1.0354          | 0.5036   |
         
     | 
| 72 | 
         
            +
            | 0.9932        | 2.99  | 59   | 1.0054          | 0.5144   |
         
     | 
| 73 | 
         
            +
            | 0.9445        | 4.0   | 79   | 0.9702          | 0.5432   |
         
     | 
| 74 | 
         
            +
            | 0.8911        | 4.96  | 98   | 0.9461          | 0.5647   |
         
     | 
| 75 | 
         
            +
            | 0.8339        | 5.97  | 118  | 0.9079          | 0.5827   |
         
     | 
| 76 | 
         
            +
            | 0.7923        | 6.99  | 138  | 0.8767          | 0.5899   |
         
     | 
| 77 | 
         
            +
            | 0.751         | 8.0   | 158  | 0.8521          | 0.6187   |
         
     | 
| 78 | 
         
            +
            | 0.7222        | 8.96  | 177  | 0.8315          | 0.6223   |
         
     | 
| 79 | 
         
            +
            | 0.688         | 9.97  | 197  | 0.8183          | 0.6259   |
         
     | 
| 80 | 
         
            +
            | 0.6734        | 10.99 | 217  | 0.8091          | 0.6367   |
         
     | 
| 81 | 
         
            +
            | 0.6734        | 11.54 | 228  | 0.8090          | 0.6331   |
         
     | 
| 82 | 
         | 
| 83 | 
         | 
| 84 | 
         
             
            ### Framework versions
         
     | 
    	
        model.safetensors
    CHANGED
    
    | 
         @@ -1,3 +1,3 @@ 
     | 
|
| 1 | 
         
             
            version https://git-lfs.github.com/spec/v1
         
     | 
| 2 | 
         
            -
            oid sha256: 
     | 
| 3 | 
         
             
            size 111311004
         
     | 
| 
         | 
|
| 1 | 
         
             
            version https://git-lfs.github.com/spec/v1
         
     | 
| 2 | 
         
            +
            oid sha256:38806f09cbe1f816a290a2710903d15a2acfdd321c947908b1a7dea2fa2f9c7e
         
     | 
| 3 | 
         
             
            size 111311004
         
     | 
    	
        runs/Apr06_13-45-13_615cc53a6797/events.out.tfevents.1712411576.615cc53a6797.172.9
    ADDED
    
    | 
         @@ -0,0 +1,3 @@ 
     | 
|
| 
         | 
|
| 
         | 
|
| 
         | 
| 
         | 
|
| 1 | 
         
            +
            version https://git-lfs.github.com/spec/v1
         
     | 
| 2 | 
         
            +
            oid sha256:f1794aeb54af6b51701937836217ac9a5d026cb19bdaab38c3e341e19dd20896
         
     | 
| 3 | 
         
            +
            size 411
         
     |