HelloWorld2307
commited on
Commit
•
0824c04
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Parent(s):
bc90912
End of training
Browse files- README.md +51 -0
- config.json +431 -0
- model.safetensors +3 -0
- preprocessor_config.json +24 -0
- runs/Feb24_05-20-17_5d85855224cc/events.out.tfevents.1708752021.5d85855224cc.402.0 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +56 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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@@ -1,3 +1,54 @@
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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base_model: dandelin/vilt-b32-mlm
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tags:
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- generated_from_trainer
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datasets:
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- vqa_v2
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model-index:
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- name: ViLT
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ViLT
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This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the vqa_v2 dataset.
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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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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.1
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config.json
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{
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"_name_or_path": "dandelin/vilt-b32-mlm",
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"architectures": [
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"ViltForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.0,
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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": "king",
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"1": "4",
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"2": "canopy",
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"3": "sun",
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"4": "calico",
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"5": "brown",
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"6": "style",
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"7": "cloudy",
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"8": "blue",
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"9": "birthday",
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"10": "bicycles",
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"11": "can't tell",
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"12": "forest",
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"13": "doughnut",
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"14": "neon",
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"15": "picnic table",
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"16": "watching",
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"17": "wall",
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"18": "fence",
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"19": "chair",
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"20": "down",
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"21": "stripes",
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"22": "orange",
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"23": "hat",
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"24": "cat",
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"25": "skateboarding",
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"26": "exit",
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"27": "shade",
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"28": "sleeping",
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"29": "backpack",
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"30": "brick",
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"31": "net",
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"32": "platform",
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"33": "laying down",
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"34": "boy",
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"35": "hair",
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"36": "camera",
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"37": "smile",
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"38": "name tag",
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"39": "in car",
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"40": "bedroom",
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"41": "snowboarder",
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"42": "not there",
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"43": "sky",
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"44": "5",
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"45": "chopsticks",
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"46": "trees",
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"47": "table",
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"48": "6",
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"49": "natural",
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"50": "door",
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"51": "africa",
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"52": "smiling",
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"53": "10",
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"54": "rack",
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"55": "7",
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"56": "fashion",
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"57": "snowboarding",
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"58": "skier",
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"59": "shelter",
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"60": "photographer",
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"61": "2",
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"62": "happy",
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"63": "resting",
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"64": "on street",
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"65": "7:35",
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"66": "yellow",
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"67": "air",
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"68": "beagle",
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"69": "plate",
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"70": "protection",
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"71": "not sure",
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"72": "human",
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"73": "9:35",
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"74": "bikes",
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"75": "cage",
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"76": "hawaii",
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"77": "out",
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"78": "on road",
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"79": "2013",
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"80": "2010",
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"81": "skiing",
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"82": "station",
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"83": "ice cream",
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"84": "window",
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"85": "tent",
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"86": "clear",
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"87": "red",
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"88": "stand",
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"89": "wine tasting",
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"90": "soccer",
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"91": "lying down",
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"92": "queen",
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"93": "crown",
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"94": "shrimp",
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"95": "woods",
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"96": "black and white",
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"97": "tired",
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"98": "ground",
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"99": "3",
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"100": "suv",
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"101": "clock tower",
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"102": "clock",
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"103": "gray and black",
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"104": "bike rack",
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"105": "green",
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"106": "necklace",
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"107": "plastic",
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"108": "girl",
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"109": "street",
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"110": "full",
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"111": "desert",
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"112": "security",
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"113": "no",
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"114": "yes",
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"115": "lg",
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"116": "curtains",
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"117": "person",
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"118": "snowboard",
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"119": "bricks",
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"120": "tabby",
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"121": "car",
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"122": "ball",
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"123": "outside",
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"124": "pink",
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"125": "donut",
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"126": "8:35",
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"127": "tower",
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"128": "screen",
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"129": "gray",
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"130": "lanyard",
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"131": "solid",
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"132": "blue and white",
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"133": "women",
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"134": "low",
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"135": "cross",
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"136": "talking on phone",
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"137": "bus",
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"138": "red and blue",
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"139": "wedding",
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"140": "red and yellow",
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"141": "purple",
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"142": "leather",
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"143": "white and black",
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"144": "right",
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"145": "beige",
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"146": "unknown",
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"147": "wine",
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"148": "black",
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"149": "little girl",
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"150": "shadow",
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"151": "train",
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"152": "0",
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"153": "roof",
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"154": "small",
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"155": "large",
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"156": "snow",
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"157": "bicycle",
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"158": "park",
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"159": "1",
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"160": "man",
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"161": "cup",
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"162": "dirt",
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"163": "arrow",
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"164": "big ben",
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"165": "monitor",
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"166": "sidewalk",
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"167": "talking",
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"168": "at table",
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"169": "skateboard",
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"170": "crossing",
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"171": "dog",
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"172": "tan",
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"173": "tv",
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"174": "giraffe",
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"175": "they aren't",
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"176": "woman",
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"177": "church",
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"178": "7:45",
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"179": "8",
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"180": "french",
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"181": "2000",
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"182": "soccer ball",
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"183": "giraffes",
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"184": "double",
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"185": "jeep",
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"186": "white",
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"187": "shadows",
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"188": "zoo",
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"189": "nothing",
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"190": "don't know",
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"191": "walking",
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"192": "blonde",
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"193": "plain",
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"194": "white and blue",
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"195": "curtain",
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"196": "lady",
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"197": "many",
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"198": "windows"
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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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"0": 152,
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"1": 159,
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"10": 53,
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"2": 61,
|
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tokenizer.json
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tokenizer_config.json
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vocab.txt
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See raw diff
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