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comixBF

Image Classification
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sanali209/comixBF

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  1. README.md +9 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4384
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  ## Model description
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@@ -43,27 +43,23 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 7 | 0.7673 |
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- | No log | 2.0 | 14 | 0.6009 |
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- | No log | 3.0 | 21 | 0.4675 |
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- | No log | 4.0 | 28 | 0.4738 |
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- | No log | 5.0 | 35 | 0.4384 |
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- | No log | 6.0 | 42 | 0.4705 |
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- | No log | 7.0 | 49 | 0.4463 |
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- | No log | 8.0 | 56 | 0.4568 |
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- | No log | 9.0 | 63 | 0.4606 |
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- | No log | 10.0 | 70 | 0.4482 |
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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  - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1858
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 53 | 0.2489 |
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+ | No log | 2.0 | 106 | 0.1858 |
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+ | No log | 3.0 | 159 | 0.2610 |
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+ | No log | 4.0 | 212 | 0.1891 |
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+ | No log | 5.0 | 265 | 0.1889 |
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+ | No log | 6.0 | 318 | 0.1987 |
 
 
 
 
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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  - Datasets 3.0.0
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  - Tokenizers 0.19.1
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