End of training

README.md

@@ -0,0 +1,90 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch32-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: results
+  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: 0.45625
+---
+
+<!-- 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. -->
+
+# results
+
+This model is a fine-tuned version of [google/vit-base-patch32-224-in21k](https://huggingface.co/google/vit-base-patch32-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4692
+- Accuracy: 0.4562
+
+## 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: 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7426        | 1.0   | 40   | 1.4692          | 0.4562   |
+| 0.4647        | 2.0   | 80   | 1.5033          | 0.4313   |
+| 0.2527        | 3.0   | 120  | 1.5517          | 0.4813   |
+| 0.1551        | 4.0   | 160  | 1.6071          | 0.4688   |
+| 0.113         | 5.0   | 200  | 1.6474          | 0.475    |
+| 0.0914        | 6.0   | 240  | 1.6752          | 0.45     |
+| 0.0774        | 7.0   | 280  | 1.7003          | 0.45     |
+| 0.0698        | 8.0   | 320  | 1.7336          | 0.4437   |
+| 0.063         | 9.0   | 360  | 1.7595          | 0.45     |
+| 0.0583        | 10.0  | 400  | 1.7778          | 0.4437   |
+| 0.0551        | 11.0  | 440  | 1.7938          | 0.4375   |
+| 0.0531        | 12.0  | 480  | 1.8082          | 0.4375   |
+| 0.0509        | 13.0  | 520  | 1.8176          | 0.4437   |
+| 0.0499        | 14.0  | 560  | 1.8230          | 0.4375   |
+| 0.0494        | 15.0  | 600  | 1.8249          | 0.4375   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,44 @@
+{
+  "_name_or_path": "google/vit-base-patch32-224-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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 32,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2177f6d98cbc8953ae47311f0d2b79bb08a9cd5f2584f0c412576677749c59d
+size 349868752

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd73360147ebc99cf9b18797c73e3ca1b6a144dbe9fdefe8690a82c5b739003e
+size 5112