Create yaml.py
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yaml.py
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import yaml
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# 定义模型卡元数据
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model_card_metadata = {
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"license": "apache-2.0",
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"language": ["en"],
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"metrics": ["accuracy", "bertscore"],
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"library_name": ["adapter-transformers", "transformers"],
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"model_name": "AutoModel",
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"model_type": "multimodal-transformer",
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"tags": ["multimodal", "transformer"],
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"datasets": ["dataset1", "dataset2"],
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"finetuned_from": "pretrained-model",
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"config": {
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"hidden_size": 768,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"intermediate_size": 2048,
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"hidden_dropout_prob": 0.1,
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"attention_probs_dropout_prob": 0.1,
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"image_size": 224,
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"image_channels": 3,
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"patch_size": 16,
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"max_position_embeddings": 512,
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"vocab_size": 30522,
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"type_vocab_size": 2,
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"audio_sample_rate": 16000,
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"audio_frame_size": 1024,
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"audio_hop_size": 512,
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"enable_vqa": True,
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"enable_caption": True,
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"enable_retrieval": True,
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"enable_asr": True,
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"enable_realtime_asr": True,
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"batch_size": 32,
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"learning_rate": 0.0001,
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"weight_decay": 0.01,
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"warmup_steps": 10000,
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"max_steps": 100000
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}
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}
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# 打印模型卡元数据
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print(yaml.dump(model_card_metadata, default_flow_style=False))
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