Training in progress, step 500

config.json

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+{
+  "_name_or_path": "dandelin/vilt-b32-finetuned-vqa",
+  "architectures": [
+    "ViltForQuestionAnswering"
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+  "attention_probs_dropout_prob": 0.0,
+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "yes"
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
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+    "yes": 1
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+  "max_image_length": -1,
+  "max_position_embeddings": 40,
+  "modality_type_vocab_size": 2,
+  "model_type": "vilt",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "num_images": -1,
+  "patch_size": 32,
+  "qkv_bias": true,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

model.safetensors

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preprocessor_config.json

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+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "ViltImageProcessor",
+  "image_std": [
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+  "size": {
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+  "size_divisor": 32
+}

runs/Feb18_13-30-52_8865c15344ff/events.out.tfevents.1708263062.8865c15344ff.3411.0

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runs/Feb18_13-34-56_8865c15344ff/events.out.tfevents.1708263314.8865c15344ff.3411.1

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
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+  "model_max_length": 40,
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+  "processor_class": "ViltProcessor",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
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+}

training_args.bin

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