Training in progress, epoch 0

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "deepmind/vision-perceiver-learned",
+  "architectures": [
+    "PerceiverForImageClassificationLearned"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "audio_samples_per_frame": 1920,
+  "cross_attention_shape_for_attention": "kv",
+  "cross_attention_widening_factor": 1,
+  "d_latents": 32,
+  "d_model": 256,
+  "hidden_act": "gelu",
+  "id2label": {
+    "0": "AnnualCrop",
+    "1": "Forest",
+    "2": "HerbaceousVegetation",
+    "3": "Highway",
+    "4": "Industrial",
+    "5": "Pasture",
+    "6": "PermanentCrop",
+    "7": "Residential",
+    "8": "River",
+    "9": "SeaLake"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "AnnualCrop": 0,
+    "Forest": 1,
+    "HerbaceousVegetation": 2,
+    "Highway": 3,
+    "Industrial": 4,
+    "Pasture": 5,
+    "PermanentCrop": 6,
+    "Residential": 7,
+    "River": 8,
+    "SeaLake": 9
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "perceiver",
+  "num_blocks": 8,
+  "num_cross_attention_heads": 1,
+  "num_frames": 16,
+  "num_latents": 128,
+  "num_self_attends_per_block": 4,
+  "num_self_attention_heads": 8,
+  "output_shape": [
+    1,
+    16,
+    224,
+    224
+  ],
+  "problem_type": "single_label_classification",
+  "qk_channels": 32,
+  "samples_per_patch": 16,
+  "self_attention_widening_factor": 1,
+  "torch_dtype": "float32",
+  "train_size": [
+    368,
+    496
+  ],
+  "transformers_version": "4.18.0",
+  "use_query_residual": true,
+  "v_channels": null,
+  "vocab_size": 262
+}

preprocessor_config.json

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+{
+  "crop_size": 256,
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "PerceiverFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "size": 224
+}

pytorch_model.bin

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training_args.bin

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