Training in progress epoch 0
Browse files- README.md +55 -0
- config.json +56 -0
- preprocessor_config.json +22 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch32-384
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Prahas10/roof-test
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# Prahas10/roof-test
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This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.co/google/vit-base-patch32-384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 2.6939
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- Validation Loss: 2.4863
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- Train Accuracy: 0.2807
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- Epoch: 0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 4e-05, 'decay_steps': 3990, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.0001}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 2.6939 | 2.4863 | 0.2807 | 0 |
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### Framework versions
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- Transformers 4.38.2
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- TensorFlow 2.15.0
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "google/vit-base-patch32-384",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "cteed_landmark_driftwood_shade",
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"1": "cteed_landmark_driftwood_sun",
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"10": "iko_dynasty_granite_black_sun",
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"11": "tamko_heritage_autumn_brown_shade",
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"12": "tamko_heritage_autumn_brown_sun",
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"13": "tamko_titan_xt_rustic_brown_shade",
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"14": "tamko_titan_xt_rustic_brown_sun",
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"2": "cteed_landmark_georgetown_gray_shade",
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"3": "cteed_landmark_georgetown_gray_sun",
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"4": "cteed_landmark_wwoo_sun",
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"5": "cteed_landmark_wwood_shade",
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"6": "gaf_hdz_charcoal_sun",
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"7": "iko_dynasty_cornerstone_shade",
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"8": "iko_dynasty_cornerstone_sun",
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"9": "iko_dynasty_granite_black_shade"
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},
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"image_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"cteed_landmark_driftwood_shade": "0",
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"cteed_landmark_driftwood_sun": "1",
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"cteed_landmark_georgetown_gray_shade": "2",
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"cteed_landmark_georgetown_gray_sun": "3",
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"cteed_landmark_wwoo_sun": "4",
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"cteed_landmark_wwood_shade": "5",
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"gaf_hdz_charcoal_sun": "6",
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"iko_dynasty_cornerstone_shade": "7",
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"iko_dynasty_cornerstone_sun": "8",
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"iko_dynasty_granite_black_shade": "9",
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"iko_dynasty_granite_black_sun": "10",
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"tamko_heritage_autumn_brown_shade": "11",
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"tamko_heritage_autumn_brown_sun": "12",
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"tamko_titan_xt_rustic_brown_shade": "13",
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"tamko_titan_xt_rustic_brown_sun": "14"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 32,
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"qkv_bias": true,
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"transformers_version": "4.38.2"
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 384,
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"width": 384
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}
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:1defd47b37644579036896847c2adb98d6bb0bf7aecd28f676709527c9817828
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size 350444216
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