End of training

README.md

@@ -0,0 +1,104 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: emotion_classification
+  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: 0.55
+---
+
+<!-- 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
+
+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: 1.3694
+- Accuracy: 0.55
+
+## 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: 16
+- eval_batch_size: 16
+- 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   | 40   | 1.9385          | 0.35     |
+| No log        | 2.0   | 80   | 1.6433          | 0.3875   |
+| No log        | 3.0   | 120  | 1.4689          | 0.5375   |
+| No log        | 4.0   | 160  | 1.3533          | 0.55     |
+| No log        | 5.0   | 200  | 1.3162          | 0.5813   |
+| No log        | 6.0   | 240  | 1.3131          | 0.5437   |
+| No log        | 7.0   | 280  | 1.2160          | 0.6      |
+| No log        | 8.0   | 320  | 1.2660          | 0.5437   |
+| No log        | 9.0   | 360  | 1.2594          | 0.55     |
+| No log        | 10.0  | 400  | 1.1873          | 0.5687   |
+| No log        | 11.0  | 440  | 1.1169          | 0.5875   |
+| No log        | 12.0  | 480  | 1.2015          | 0.5687   |
+| 1.125         | 13.0  | 520  | 1.2653          | 0.5375   |
+| 1.125         | 14.0  | 560  | 1.2801          | 0.5563   |
+| 1.125         | 15.0  | 600  | 1.2304          | 0.5563   |
+| 1.125         | 16.0  | 640  | 1.2341          | 0.5437   |
+| 1.125         | 17.0  | 680  | 1.2981          | 0.5312   |
+| 1.125         | 18.0  | 720  | 1.3277          | 0.5687   |
+| 1.125         | 19.0  | 760  | 1.2174          | 0.5875   |
+| 1.125         | 20.0  | 800  | 1.1810          | 0.6      |
+| 1.125         | 21.0  | 840  | 1.2280          | 0.5687   |
+| 1.125         | 22.0  | 880  | 1.3576          | 0.525    |
+| 1.125         | 23.0  | 920  | 1.3897          | 0.5375   |
+| 1.125         | 24.0  | 960  | 1.3216          | 0.5625   |
+| 0.3612        | 25.0  | 1000 | 1.3033          | 0.6062   |
+| 0.3612        | 26.0  | 1040 | 1.3501          | 0.5625   |
+| 0.3612        | 27.0  | 1080 | 1.2310          | 0.575    |
+| 0.3612        | 28.0  | 1120 | 1.2495          | 0.6062   |
+| 0.3612        | 29.0  | 1160 | 1.2974          | 0.5875   |
+| 0.3612        | 30.0  | 1200 | 1.2985          | 0.5813   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

config.json

@@ -0,0 +1,44 @@
+{
+  "_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": "4.35.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b97869f41595064200eebfe8396319e4b59e3e54024a2b1b3130e3ed455b224b
+size 343242432

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "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/Feb13_18-13-35_8819890d763d/events.out.tfevents.1707848334.8819890d763d.1802.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7bcf22cf1699d555592d1d41230a4593fa71724557c1795abf35246d236b9db
+size 14813

runs/Feb13_18-13-35_8819890d763d/events.out.tfevents.1707849364.8819890d763d.1802.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:244403f061f06f31388eaa0999b0b66f3e0e01093f5e0e09c1cf11cbe61bbf4d
+size 411

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eaeb03e12e6764a699f4fa14a77f5f20ee278796fac37333f825944baf2de984
+size 4600