End of training

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
+  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: 0.848446147296722
+    - name: Recall
+      type: recall
+      value: 0.848446147296722
+    - name: F1
+      type: f1
+      value: 0.8477849036950597
+    - name: Precision
+      type: precision
+      value: 0.8513434130555053
+---
+
+<!-- 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
+
+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: 0.3494
+- Accuracy: 0.8484
+- Recall: 0.8484
+- F1: 0.8478
+- Precision: 0.8513
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.5792        | 0.9974 | 293  | 0.5989          | 0.7969   | 0.7969 | 0.7829 | 0.7897    |
+| 0.42          | 1.9983 | 587  | 0.5251          | 0.8046   | 0.8046 | 0.7960 | 0.7985    |
+| 0.3501        | 2.9991 | 881  | 0.4299          | 0.8335   | 0.8335 | 0.8312 | 0.8363    |
+| 0.3187        | 4.0    | 1175 | 0.4302          | 0.8169   | 0.8169 | 0.8144 | 0.8182    |
+| 0.3873        | 4.9974 | 1468 | 0.4246          | 0.8250   | 0.8250 | 0.8238 | 0.8326    |
+| 0.3786        | 5.9983 | 1762 | 0.3881          | 0.8306   | 0.8306 | 0.8303 | 0.8394    |
+| 0.337         | 6.9991 | 2056 | 0.3803          | 0.8306   | 0.8306 | 0.8304 | 0.8351    |
+| 0.2717        | 8.0    | 2350 | 0.3785          | 0.8395   | 0.8395 | 0.8361 | 0.8482    |
+| 0.2753        | 8.9974 | 2643 | 0.3805          | 0.8327   | 0.8327 | 0.8314 | 0.8346    |
+| 0.2814        | 9.9745 | 2930 | 0.3362          | 0.8480   | 0.8480 | 0.8467 | 0.8499    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.0a0+81ea7a4
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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
+2024-05-02T04:16:46,codecarbon,d0fbfb8d-c22b-48bf-83a8-55f401614597,1385.1880159378052,0.00014365478459774659,1.0370778763956378e-07,42.5,74.16619667871524,11.667008399963379,0.016352169314192398,0.03959190806238999,0.004485696278541486,0.060429773655123926,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

runs/May02_03-53-36_60f4804cf903/events.out.tfevents.1714623470.60f4804cf903.2810.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df272ad4ffe8e5be3cc99d275da67a39801e867cd42a1d8a1541a2d09492836e
+size 560