Training in progress epoch 0

README.md

@@ -0,0 +1,57 @@
+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: aalonso-developer/vit-base-patch16-224-in21k-euroSat
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# aalonso-developer/vit-base-patch16-224-in21k-euroSat
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.4737
+- Train Accuracy: 0.9429
+- Train Top-3-accuracy: 0.9862
+- Validation Loss: 0.1568
+- Validation Accuracy: 0.9788
+- Validation Top-3-accuracy: 0.9993
+- Epoch: 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:
+- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3590, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
+|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
+| 0.4737     | 0.9429         | 0.9862               | 0.1568          | 0.9788              | 0.9993                    | 0     |
+
+
+### Framework versions
+
+- Transformers 4.29.1
+- TensorFlow 2.11.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,46 @@
+{
+  "_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": "River",
+    "1": "Highway",
+    "2": "Industrial",
+    "3": "Forest",
+    "4": "HerbaceousVegetation",
+    "5": "SeaLake",
+    "6": "Residential",
+    "7": "Pasture",
+    "8": "AnnualCrop",
+    "9": "PermanentCrop"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AnnualCrop": "8",
+    "Forest": "3",
+    "HerbaceousVegetation": "4",
+    "Highway": "1",
+    "Industrial": "2",
+    "Pasture": "7",
+    "PermanentCrop": "9",
+    "Residential": "6",
+    "River": "0",
+    "SeaLake": "5"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "transformers_version": "4.29.1"
+}

logs/train/events.out.tfevents.1683984369.adrian-development.80699.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b74a8b3e3679ea39ec58105fbc49a5bdc292da8d2892a47ad2d06b85dad0ff50
+size 3294171

logs/train/events.out.tfevents.1683984676.adrian-development.86579.0.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37ef04c19c6a31dfe3741d1a975b6299f336e663594ff882a9cc466efcdcca49
+size 3294458

logs/validation/events.out.tfevents.1683984996.adrian-development.86579.1.v2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd4ee8a9d048389ed3e98b0ae4bc155233a3299ecc653f81ebe2b501e246fb7d
+size 530

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31414c62b5dc0b30e25a81fcf76d08379c1ff23402bb55f98b6464fc6116667d
+size 343494328