Training in progress, epoch 1

README.md

@@ -0,0 +1,102 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- recall
+- f1
+- precision
+model-index:
+- name: vit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-new-parameter
+  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: 0.8339719029374202
+    - name: Recall
+      type: recall
+      value: 0.8339719029374202
+    - name: F1
+      type: f1
+      value: 0.8319571049551264
+    - name: Precision
+      type: precision
+      value: 0.8325133593723552
+---
+
+<!-- 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. -->
+
+# vit-base-patch16-224-finetuned-ind-17-imbalanced-aadhaarmask-new-parameter
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3507
+- Accuracy: 0.8340
+- Recall: 0.8340
+- F1: 0.8320
+- Precision: 0.8325
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Recall | F1     | Precision |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| No log        | 0.9974 | 293  | 0.6168          | 0.7923   | 0.7923 | 0.7737 | 0.7684    |
+| No log        | 1.9983 | 587  | 0.4599          | 0.8110   | 0.8110 | 0.8056 | 0.8085    |
+| No log        | 2.9991 | 881  | 0.4305          | 0.8233   | 0.8233 | 0.8211 | 0.8250    |
+| No log        | 4.0    | 1175 | 0.3966          | 0.8365   | 0.8365 | 0.8323 | 0.8452    |
+| No log        | 4.9974 | 1468 | 0.4100          | 0.8221   | 0.8221 | 0.8195 | 0.8219    |
+| No log        | 5.9983 | 1762 | 0.3890          | 0.8412   | 0.8412 | 0.8375 | 0.8466    |
+| No log        | 6.9991 | 2056 | 0.3659          | 0.8357   | 0.8357 | 0.8335 | 0.8386    |
+| No log        | 8.0    | 2350 | 0.3562          | 0.8395   | 0.8395 | 0.8379 | 0.8403    |
+| No log        | 8.9974 | 2643 | 0.3613          | 0.8382   | 0.8382 | 0.8373 | 0.8391    |
+| 0.4339        | 9.9745 | 2930 | 0.3405          | 0.8455   | 0.8455 | 0.8447 | 0.8467    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.0a0+81ea7a4
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,62 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "AadhaarBack",
+    "1": "AadhaarBackMasked",
+    "10": "PanCard",
+    "11": "PassportFirst",
+    "12": "PassportLast",
+    "13": "PassportRegular",
+    "14": "VoterCardBack",
+    "15": "VoterCardFront",
+    "16": "VoterCardRegular",
+    "2": "AadhaarFront",
+    "3": "AadhaarFrontMasked",
+    "4": "AadhaarRegular",
+    "5": "AadhaarRegularMasked",
+    "6": "AadhaarSelfGenerated",
+    "7": "DrivingLicenseNew",
+    "8": "DrivingLicenseOld",
+    "9": "MultipleOVDs"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AadhaarBack": "0",
+    "AadhaarBackMasked": "1",
+    "AadhaarFront": "2",
+    "AadhaarFrontMasked": "3",
+    "AadhaarRegular": "4",
+    "AadhaarRegularMasked": "5",
+    "AadhaarSelfGenerated": "6",
+    "DrivingLicenseNew": "7",
+    "DrivingLicenseOld": "8",
+    "MultipleOVDs": "9",
+    "PanCard": "10",
+    "PassportFirst": "11",
+    "PassportLast": "12",
+    "PassportRegular": "13",
+    "VoterCardBack": "14",
+    "VoterCardFront": "15",
+    "VoterCardRegular": "16"
+  },
+  "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": "4.40.1"
+}

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
+2024-05-02T12:01:50,codecarbon,bad44f8c-0329-471d-bdd3-6315ce4270b2,1361.8545150756836,0.00014171788704263056,1.0406242772177081e-07,42.5,79.6684356058394,11.667008399963379,0.016076764230098996,0.03912815380249812,0.004410080944630984,0.05961499897722809,Canada,CAN,quebec,,,Linux-5.15.0-105-generic-x86_64-with-glibc2.35,3.10.12,2.3.5,32,13th Gen Intel(R) Core(TM) i9-13900K,1,1 x NVIDIA GeForce RTX 4060 Ti,-71.2,46.8,31.112022399902344,machine,N,1.0

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f15ff5ff647d5112289eba79872672f6c86730f4cd5a1e558acf04607572bdc
+size 343270116

preprocessor_config.json

@@ -0,0 +1,36 @@
+{
+  "_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
+  }
+}

runs/May02_11-39-06_60f4804cf903/events.out.tfevents.1714649948.60f4804cf903.8371.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29bbb69f014fd967ffe9f474b72e338ec545c55a065ca0bda130f5e7b3b14461
+size 11045

runs/May02_11-39-06_60f4804cf903/events.out.tfevents.1714651369.60f4804cf903.8371.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:888904878fd1c261473a1f109df64fef2a94b1c9280583008a077fde377faa1c
+size 560

runs/May02_12-13-38_60f4804cf903/events.out.tfevents.1714652021.60f4804cf903.9256.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1eba9ad016ff478d0ec9bc30191b7f0254be41e577b089270b867755c13b974c
+size 6231

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90116e41f2173db950fcb15f88d1676e19dc4b9acd665e5e8eaa03f6ea775035
+size 5112