End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Rice-Plant-20-Epochs-Model
+  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: 0.9719626168224299
+    - name: F1
+      type: f1
+      value: 0.9719154614454629
+---
+
+<!-- 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. -->
+
+# Rice-Plant-20-Epochs-Model
+
+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: 0.1306
+- Accuracy: 0.9720
+- F1: 0.9719
+
+## 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: 2e-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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 1.0906        | 1.0   | 116  | 0.6826          | 0.8660   | 0.8676 |
+| 0.3792        | 2.0   | 232  | 0.3327          | 0.9470   | 0.9474 |
+| 0.1934        | 3.0   | 348  | 0.2876          | 0.9283   | 0.9285 |
+| 0.1157        | 4.0   | 464  | 0.2187          | 0.9470   | 0.9470 |
+| 0.0849        | 5.0   | 580  | 0.1614          | 0.9688   | 0.9689 |
+| 0.0675        | 6.0   | 696  | 0.1326          | 0.9688   | 0.9688 |
+| 0.0561        | 7.0   | 812  | 0.1227          | 0.9688   | 0.9688 |
+| 0.0485        | 8.0   | 928  | 0.1306          | 0.9720   | 0.9719 |
+| 0.0416        | 9.0   | 1044 | 0.1356          | 0.9720   | 0.9719 |
+| 0.0369        | 10.0  | 1160 | 0.1184          | 0.9688   | 0.9688 |
+| 0.0335        | 11.0  | 1276 | 0.1281          | 0.9720   | 0.9720 |
+| 0.0308        | 12.0  | 1392 | 0.1129          | 0.9720   | 0.9719 |
+| 0.0285        | 13.0  | 1508 | 0.1074          | 0.9720   | 0.9719 |
+| 0.0267        | 14.0  | 1624 | 0.1061          | 0.9720   | 0.9719 |
+| 0.0253        | 15.0  | 1740 | 0.1049          | 0.9720   | 0.9719 |
+| 0.0241        | 16.0  | 1856 | 0.1048          | 0.9720   | 0.9719 |
+| 0.0232        | 17.0  | 1972 | 0.1045          | 0.9720   | 0.9719 |
+| 0.0225        | 18.0  | 2088 | 0.1036          | 0.9720   | 0.9719 |
+| 0.0221        | 19.0  | 2204 | 0.1035          | 0.9720   | 0.9719 |
+| 0.0219        | 20.0  | 2320 | 0.1036          | 0.9720   | 0.9719 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 20.0,
+    "total_flos": 2.861106825675571e+18,
+    "train_loss": 0.11864709494442775,
+    "train_runtime": 3416.3962,
+    "train_samples": 1846,
+    "train_samples_per_second": 10.807,
+    "train_steps_per_second": 0.679
+}

config.json

@@ -0,0 +1,40 @@
+{
+  "_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": 0,
+    "1": 1,
+    "2": 2,
+    "3": 3,
+    "4": 4,
+    "5": 5
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 0,
+    "1": 1,
+    "2": 2,
+    "3": 3,
+    "4": 4,
+    "5": 5
+  },
+  "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": "4.35.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8216f82a102db62670f57135ca2b77d0dcd1867fb25b9539cf1f1b8241808f87
+size 343236280

preprocessor_config.json

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+{
+  "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
+  }
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "total_flos": 2.861106825675571e+18,
+    "train_loss": 0.11864709494442775,
+    "train_runtime": 3416.3962,
+    "train_samples": 1846,
+    "train_samples_per_second": 10.807,
+    "train_steps_per_second": 0.679
+}

training_args.bin

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+size 4536