End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: nvidia/mit-b0
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: mit-b0_whitefly
+  results: []
+---
+
+<!-- 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. -->
+
+# mit-b0_whitefly
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2644
+- Mean Iou: 0.4948
+- Mean Accuracy: 0.4968
+- Overall Accuracy: 0.9893
+- Accuracy Background: 0.9907
+- Accuracy Whitefly: 0.0029
+- Iou Background: 0.9893
+- Iou Whitefly: 0.0004
+
+## 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: 6e-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
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Whitefly | Iou Background | Iou Whitefly |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-----------------:|:--------------:|:------------:|
+| 0.6275        | 0.4   | 20   | 0.6849          | 0.3529   | 0.4550        | 0.7049           | 0.7056              | 0.2044            | 0.7048         | 0.0010       |
+| 0.4423        | 0.8   | 40   | 0.5826          | 0.4745   | 0.5157        | 0.9468           | 0.9480              | 0.0834            | 0.9468         | 0.0022       |
+| 0.3793        | 1.2   | 60   | 0.4444          | 0.4868   | 0.4927        | 0.9731           | 0.9744              | 0.0110            | 0.9731         | 0.0006       |
+| 0.3102        | 1.6   | 80   | 0.3347          | 0.4976   | 0.4986        | 0.9949           | 0.9963              | 0.0009            | 0.9949         | 0.0002       |
+| 0.272         | 2.0   | 100  | 0.3100          | 0.4983   | 0.4991        | 0.9963           | 0.9977              | 0.0004            | 0.9963         | 0.0002       |
+| 0.3003        | 2.4   | 120  | 0.2579          | 0.4983   | 0.4991        | 0.9965           | 0.9979              | 0.0003            | 0.9965         | 0.0001       |
+| 0.2558        | 2.8   | 140  | 0.2644          | 0.4948   | 0.4968        | 0.9893           | 0.9907              | 0.0029            | 0.9893         | 0.0004       |
+
+
+### Framework versions
+
+- Transformers 4.44.1
+- Pytorch 2.6.0+cpu
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "background",
+    "1": "whitefly"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": 0,
+    "whitefly": 1
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:69b74c437f212c5fc5e65b5c0389c6e6ec3a181c83d9f1f14952e8b346162258
+size 14884776

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

runs/Apr03_21-09-07_LAPTOP-AKFGGHPG/events.out.tfevents.1743703765.LAPTOP-AKFGGHPG.182918.0

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+size 41596

training_args.bin

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