End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: emotion_classification_v1
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train[:5000]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.59375
+    - name: Precision
+      type: precision
+      value: 0.6599395444120348
+    - name: Recall
+      type: recall
+      value: 0.59375
+    - name: F1
+      type: f1
+      value: 0.5919790409999833
+---
+
+<!-- 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. -->
+
+# emotion_classification_v1
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1926
+- Accuracy: 0.5938
+- Precision: 0.6599
+- Recall: 0.5938
+- F1: 0.5920
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 80   | 1.6474          | 0.3375   | 0.3120    | 0.3375 | 0.2259 |
+| No log        | 2.0   | 160  | 1.4434          | 0.4625   | 0.5606    | 0.4625 | 0.4112 |
+| No log        | 3.0   | 240  | 1.3266          | 0.4875   | 0.5296    | 0.4875 | 0.4516 |
+| No log        | 4.0   | 320  | 1.2547          | 0.5375   | 0.5836    | 0.5375 | 0.5342 |
+| No log        | 5.0   | 400  | 1.2195          | 0.5875   | 0.6815    | 0.5875 | 0.5900 |
+| No log        | 6.0   | 480  | 1.1895          | 0.5563   | 0.5709    | 0.5563 | 0.5424 |
+| 1.2914        | 7.0   | 560  | 1.1572          | 0.5437   | 0.5607    | 0.5437 | 0.5431 |
+| 1.2914        | 8.0   | 640  | 1.1822          | 0.5563   | 0.5602    | 0.5563 | 0.5515 |
+| 1.2914        | 9.0   | 720  | 1.2712          | 0.55     | 0.5695    | 0.55   | 0.5530 |
+| 1.2914        | 10.0  | 800  | 1.2196          | 0.5625   | 0.5701    | 0.5625 | 0.5559 |
+| 1.2914        | 11.0  | 880  | 1.2460          | 0.5312   | 0.5584    | 0.5312 | 0.5357 |
+| 1.2914        | 12.0  | 960  | 1.2473          | 0.5563   | 0.5710    | 0.5563 | 0.5553 |
+| 0.5247        | 13.0  | 1040 | 1.2438          | 0.575    | 0.5908    | 0.575  | 0.5761 |
+| 0.5247        | 14.0  | 1120 | 1.3033          | 0.5312   | 0.5391    | 0.5312 | 0.5305 |
+| 0.5247        | 15.0  | 1200 | 1.2928          | 0.5625   | 0.5861    | 0.5625 | 0.5673 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "anger",
+    "1": "contempt",
+    "2": "disgust",
+    "3": "fear",
+    "4": "happy",
+    "5": "neutral",
+    "6": "sad",
+    "7": "surprise"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": "0",
+    "contempt": "1",
+    "disgust": "2",
+    "fear": "3",
+    "happy": "4",
+    "neutral": "5",
+    "sad": "6",
+    "surprise": "7"
+  },
+  "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": "4.41.2"
+}

model.safetensors

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+size 343242432

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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
+  }
+}

training_args.bin

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+size 5112