End of training

README.md

@@ -0,0 +1,56 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: convnext_model
+  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. -->
+
+# convnext_model
+
+This model was trained from scratch on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2166
+- eval_model_preparation_time: 0.002
+- eval_runtime: 34.083
+- eval_samples_per_second: 11.736
+- eval_steps_per_second: 0.734
+- step: 0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cpu
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

@@ -0,0 +1,56 @@
+{
+  "_name_or_path": "./saved_convnext_model/",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    128,
+    256,
+    512,
+    1024
+  ],
+  "id2label": {
+    "0": "cyclone",
+    "1": "earthquake",
+    "2": "flood",
+    "3": "wildfire"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "cyclone": 0,
+    "earthquake": 1,
+    "flood": 2,
+    "wildfire": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:251b2fdbfddef72aae4760dfab6086784821febaca54c198d4e9472934aa9367
+size 350323416

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00c128e7cea18823884425e4cc03894288fc30bea6a37e8cd7046ae89c1dd958
+size 5240