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comixBF

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sanali209/comixBF

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  1. README.md +7 -11
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,5 @@
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  ---
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  library_name: transformers
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- license: apache-2.0
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- base_model: google/vit-large-patch16-224
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -16,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # comixBF
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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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@@ -43,18 +41,16 @@ 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: 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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  ---
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  library_name: transformers
 
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  # comixBF
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+ This model was trained from scratch on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2229
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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: 4
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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 | 104 | 0.3130 |
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+ | No log | 2.0 | 208 | 0.2418 |
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+ | No log | 3.0 | 312 | 0.2229 |
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+ | No log | 4.0 | 416 | 0.2276 |
 
 
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "google/vit-large-patch16-224",
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  "architectures": [
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  "ViTForImageClassification"
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  ],
 
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  {
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+ "_name_or_path": "sanali209/comixBF",
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  "architectures": [
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  "ViTForImageClassification"
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  ],
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