Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: vit-base-patch16-224-dmae-va-U5-100bc
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vit-base-patch16-224-dmae-va-U5-100bc
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5346
+- Accuracy: 0.85
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.9   | 7    | 0.5017          | 0.8667   |
+| 0.3168        | 1.94  | 15   | 0.5970          | 0.8      |
+| 0.2613        | 2.97  | 23   | 0.5442          | 0.8167   |
+| 0.222         | 4.0   | 31   | 0.7156          | 0.7667   |
+| 0.222         | 4.9   | 38   | 0.5175          | 0.85     |
+| 0.1783        | 5.94  | 46   | 0.6035          | 0.8167   |
+| 0.168         | 6.97  | 54   | 0.5045          | 0.85     |
+| 0.1456        | 8.0   | 62   | 0.4923          | 0.85     |
+| 0.1456        | 8.9   | 69   | 0.5346          | 0.85     |
+| 0.1236        | 9.03  | 70   | 0.5346          | 0.85     |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "vit-base-patch16-224-dmae-va-U5-100b\\checkpoint-100",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "avanzada",
+    "1": "leve",
+    "2": "moderada",
+    "3": "no dmae"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "avanzada": 0,
+    "leve": 1,
+    "moderada": 2,
+    "no dmae": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2"
+}

model.safetensors

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+size 343230128

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Apr25_10-42-39_DESKTOP-SKBE9FB/events.out.tfevents.1714063360.DESKTOP-SKBE9FB.12604.0

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+size 9215

training_args.bin

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