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debajyotidasgupta
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convnextv2-base-22k-384

Image Classification
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convnextv2
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  1. README.md +18 -18
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 1.0
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  ---
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  <!-- 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. -->
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  This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0021
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- - F1: 1.0
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  ## Model description
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@@ -53,11 +53,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
@@ -67,21 +67,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.1686 | 0.99 | 53 | 0.1308 | 0.6624 |
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- | 0.0717 | 1.99 | 107 | 0.0620 | 0.9071 |
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- | 0.0431 | 3.0 | 161 | 0.0455 | 0.9223 |
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- | 0.0453 | 4.0 | 215 | 0.0213 | 0.9661 |
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- | 0.0346 | 4.99 | 268 | 0.0182 | 0.9637 |
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- | 0.0141 | 5.99 | 322 | 0.0072 | 0.9923 |
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- | 0.015 | 7.0 | 376 | 0.0077 | 0.9923 |
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- | 0.0146 | 8.0 | 430 | 0.0085 | 0.9884 |
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- | 0.0133 | 8.99 | 483 | 0.0047 | 0.9923 |
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- | 0.0164 | 9.86 | 530 | 0.0021 | 1.0 |
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.1
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.9913113141099743
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0069
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+ - F1: 0.9913
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.1521 | 1.0 | 202 | 0.0982 | 0.8278 |
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+ | 0.0664 | 2.0 | 404 | 0.0626 | 0.9079 |
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+ | 0.1053 | 3.0 | 606 | 0.0356 | 0.9537 |
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+ | 0.0432 | 4.0 | 808 | 0.0302 | 0.9703 |
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+ | 0.0552 | 5.0 | 1010 | 0.0114 | 0.9827 |
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+ | 0.0352 | 6.0 | 1212 | 0.0131 | 0.9824 |
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+ | 0.0221 | 7.0 | 1414 | 0.0063 | 0.9943 |
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+ | 0.0018 | 8.0 | 1616 | 0.0169 | 0.9824 |
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+ | 0.0283 | 9.0 | 1818 | 0.0028 | 0.9971 |
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+ | 0.0429 | 10.0 | 2020 | 0.0069 | 0.9913 |
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  ### Framework versions
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+ - Transformers 4.37.2
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+ - Pytorch 1.12.1+cu102
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  - Datasets 2.16.1
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  - Tokenizers 0.15.1
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