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{
"_name_or_path": "./model-eredat-kelm-Q1",
"architectures": [
"T5ForConditionalGeneration"
],
"base_model": "google-t5/t5-base",
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"dense_act_fn": "relu",
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"feed_forward_proj": "relu",
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"is_encoder_decoder": true,
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"lang": "en",
"layer_norm_epsilon": 1e-06,
"max_length": 128,
"model_type": "t5",
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"n_positions": 512,
"num_decoder_layers": 12,
"num_heads": 12,
"num_layers": 12,
"output_past": true,
"pad_token_id": 0,
"relative_attention_max_distance": 128,
"relative_attention_num_buckets": 32,
"task": "rdf2text",
"task_specific_params": {
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"no_repeat_ngram_size": 3,
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"prefix": "summarize: "
},
"translation_en_to_de": {
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"num_beams": 4,
"prefix": "translate English to German: "
},
"translation_en_to_fr": {
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"num_beams": 4,
"prefix": "translate English to French: "
},
"translation_en_to_ro": {
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"num_beams": 4,
"prefix": "translate English to Romanian: "
}
},
"torch_dtype": "float32",
"transformers_version": "4.38.2",
"use_cache": true,
"vocab_size": 32103
}
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