End of training

README.md

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+---
+license: apache-2.0
+base_model: raffel-22/emotion_classification_2
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: emotion_classification_2_continue
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.725
+---
+
+<!-- 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_2_continue
+
+This model is a fine-tuned version of [raffel-22/emotion_classification_2](https://huggingface.co/raffel-22/emotion_classification_2) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8978
+- Accuracy: 0.725
+
+## 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: 4e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 20   | 0.9714          | 0.7063   |
+| No log        | 2.0   | 40   | 0.9432          | 0.7188   |
+| No log        | 3.0   | 60   | 0.9633          | 0.7      |
+| No log        | 4.0   | 80   | 0.9322          | 0.7375   |
+| No log        | 5.0   | 100  | 0.8530          | 0.7063   |
+| No log        | 6.0   | 120  | 0.9063          | 0.7063   |
+| No log        | 7.0   | 140  | 0.8451          | 0.7125   |
+| No log        | 8.0   | 160  | 0.9672          | 0.6375   |
+| No log        | 9.0   | 180  | 0.9036          | 0.6937   |
+| No log        | 10.0  | 200  | 0.9261          | 0.6562   |
+| No log        | 11.0  | 220  | 0.8963          | 0.6937   |
+| No log        | 12.0  | 240  | 0.8852          | 0.7188   |
+| No log        | 13.0  | 260  | 0.8728          | 0.7063   |
+| No log        | 14.0  | 280  | 0.9559          | 0.6875   |
+| No log        | 15.0  | 300  | 0.9352          | 0.65     |
+| No log        | 16.0  | 320  | 0.8638          | 0.7      |
+| No log        | 17.0  | 340  | 0.9156          | 0.7      |
+| No log        | 18.0  | 360  | 1.0299          | 0.6687   |
+| No log        | 19.0  | 380  | 0.8983          | 0.675    |
+| No log        | 20.0  | 400  | 0.8858          | 0.7063   |
+| No log        | 21.0  | 420  | 0.9699          | 0.6937   |
+| No log        | 22.0  | 440  | 1.0603          | 0.625    |
+| No log        | 23.0  | 460  | 1.0404          | 0.6312   |
+| No log        | 24.0  | 480  | 0.8838          | 0.6937   |
+| 0.4269        | 25.0  | 500  | 0.9280          | 0.6937   |
+| 0.4269        | 26.0  | 520  | 0.9456          | 0.6937   |
+| 0.4269        | 27.0  | 540  | 0.9640          | 0.6937   |
+| 0.4269        | 28.0  | 560  | 0.9865          | 0.6937   |
+| 0.4269        | 29.0  | 580  | 0.8900          | 0.7188   |
+| 0.4269        | 30.0  | 600  | 0.9408          | 0.7063   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "raffel-22/emotion_classification_2",
+  "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": "4.33.2"
+}

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
+  }
+}

pytorch_model.bin

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+oid sha256:5b2ac58a56b5e0517ddcb5184a011c4c879ad573f9708a3153933a89f7b94bea
+size 343287149

training_args.bin

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