End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: nvidia/mit-b5
+tags:
+- generated_from_trainer
+model-index:
+- name: karlin-segmentation-SENSITIVE
+  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. -->
+
+# karlin-segmentation-SENSITIVE
+
+This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the None dataset.
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.1+cu128
+- Datasets 4.4.1
+- Tokenizers 0.22.1

config.json

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+{
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 768,
+  "depths": [
+    3,
+    6,
+    40,
+    3
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "background",
+    "1": "Features",
+    "2": "crows_feet",
+    "3": "dermatochalasis",
+    "4": "festoon",
+    "5": "forehead_rhytid",
+    "6": "glabellar_rhytid",
+    "7": "hyperpigmentation",
+    "8": "inferior_orbital_rim_hollow",
+    "9": "lower_eyelid_fat_herniation",
+    "10": "lower_eyelid_rhytids",
+    "11": "medial_upper_eyelid_fat_herniation",
+    "12": "ptosis",
+    "13": "upper_eyelid_hollow"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Features": 1,
+    "background": 0,
+    "crows_feet": 2,
+    "dermatochalasis": 3,
+    "festoon": 4,
+    "forehead_rhytid": 5,
+    "glabellar_rhytid": 6,
+    "hyperpigmentation": 7,
+    "inferior_orbital_rim_hollow": 8,
+    "lower_eyelid_fat_herniation": 9,
+    "lower_eyelid_rhytids": 10,
+    "medial_upper_eyelid_fat_herniation": 11,
+    "ptosis": 12,
+    "upper_eyelid_hollow": 13
+  },
+  "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
+  ],
+  "transformers_version": "4.57.3"
+}

model.safetensors

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+size 338565352

training_args.bin

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