End of training

README.md

@@ -0,0 +1,79 @@
+---
+library_name: transformers
+base_model: nateraw/vit-age-classifier
+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: 1.0
+---
+
+<!-- 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 [nateraw/vit-age-classifier](https://huggingface.co/nateraw/vit-age-classifier) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0642
+- Accuracy: 1.0
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 100  | 1.5108          | 0.575    |
+| No log        | 2.0   | 200  | 0.6529          | 0.8125   |
+| No log        | 3.0   | 300  | 0.2589          | 1.0      |
+| No log        | 4.0   | 400  | 0.1071          | 1.0      |
+| 0.8743        | 5.0   | 500  | 0.0642          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,46 @@
+{
+  "_name_or_path": "nateraw/vit-age-classifier",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0-2",
+    "1": "3-9",
+    "2": "10-19",
+    "3": "20-29",
+    "4": "30-39",
+    "5": "40-49",
+    "6": "50-59",
+    "7": "60-69",
+    "8": "more than 70"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0-2": 0,
+    "10-19": 2,
+    "20-29": 3,
+    "3-9": 1,
+    "30-39": 4,
+    "40-49": 5,
+    "50-59": 6,
+    "60-69": 7,
+    "more than 70": 8
+  },
+  "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": "4.44.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9ae326d6d9c2a6c7067b13fff2e9d13087bd0bf30736f584473dcaab61b4610
+size 343245508

runs/Sep06_08-56-39_3b71eb21ac7e/events.out.tfevents.1725613014.3b71eb21ac7e.1452.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:857c5149e1089cea5f41fb5101b586bb6de35d7ced67115d092198602f4f51bd
+size 5122

runs/Sep06_08-59-37_3b71eb21ac7e/events.out.tfevents.1725613196.3b71eb21ac7e.1452.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14cc7cf45007530c2903e99c4a87729183a05aca18c0f7b1dff2e0bdb6b6a632
+size 5123

runs/Sep06_09-01-24_3b71eb21ac7e/events.out.tfevents.1725613388.3b71eb21ac7e.1452.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07f91e3888d5ff1247c9e8c6eaa2f488b10fac28a235563b2925f46416868d4c
+size 5123

runs/Sep06_09-04-27_3b71eb21ac7e/events.out.tfevents.1725613490.3b71eb21ac7e.1452.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76ae7824e06cc0eee1befdefd71e82c17a211720d1a42bfda094309bca8be11f
+size 5123

runs/Sep06_09-05-35_3b71eb21ac7e/events.out.tfevents.1725613538.3b71eb21ac7e.1452.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e11e6af60ef78b61795dd7b911491f43eee2a88c0843e93144164e10dbb4e4cb
+size 5123

runs/Sep06_09-05-54_3b71eb21ac7e/events.out.tfevents.1725613555.3b71eb21ac7e.1452.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cfabf2ace1727a944e4b4b54de3b814913a54e5c76460d6c50cf4e679c6435d
+size 5123

runs/Sep06_09-07-23_3b71eb21ac7e/events.out.tfevents.1725613661.3b71eb21ac7e.1452.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:544f6b75a76513ee01f2bd09d5b8ce364924560c23fdf5b8cada0fd17a6a25f5
+size 6440

runs/Sep06_09-14-32_3b71eb21ac7e/events.out.tfevents.1725614073.3b71eb21ac7e.1452.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd181662efeac2e3f99f233c7025cfa3cb6de7e9a3f91772fae1474620584859
+size 7297

runs/Sep06_09-14-32_3b71eb21ac7e/events.out.tfevents.1725614745.3b71eb21ac7e.1452.8

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4dde43acbf0d274412fcf68b2b1cb9d1a63be6a887b861870d85f5f649b5910f
+size 411

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04b0e9e907ea6b269efd1582d417102588cfbbf5487a3e83d04e6f39e3ccccc6
+size 5176