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{
"model_name": "Evolutionary Multi-Modal Model",
"model_type": "transformer",
"license": "mit",
"language": "en",
"datasets": [
"Custom"
],
"tags": [
"text-generation",
"code-generation",
"speech-recognition",
"multi-modal",
"evolutionary"
],
"base_model": "facebook/bart-base",
"finetuned_from": [
"gpt2",
"bert-base-uncased",
"facebook/wav2vec2-base-960h",
"openai/clip-vit-base-patch32"
],
"dataset": "Custom Multi-Modal Dataset",
"metrics": [
"perplexity",
"bleu",
"wer",
"cer"
],
"library_name": "transformers",
"pipeline_tag": "text-generation",
"inference": {
"parameters": {
"max_length": 50,
"top_k": 50,
"top_p": 0.95,
"temperature": 1.2,
"do_sample": true
}
},
"extra_info": {
"author": "zero",
"version": "1.0",
"description":"1.0",
"citation": "@1.0"
}
}
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