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pegasus-large-reddit-syac

Text2Text Generation
Transformers
PyTorch
pegasus
Inference Endpoints
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pegasus-large-reddit-syac
File size: 3,117 Bytes 
34e6049
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "google/pegasus-large",
  "activation_dropout": 0.1,
  "activation_function": "relu",
  "add_bias_logits": false,
  "add_final_layer_norm": true,
  "architectures": [
    "PegasusForConditionalGeneration"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 0,
  "classif_dropout": 0.0,
  "classifier_dropout": 0.0,
  "d_model": 1024,
  "decoder_attention_heads": 16,
  "decoder_ffn_dim": 4096,
  "decoder_layerdrop": 0.0,
  "decoder_layers": 16,
  "decoder_start_token_id": 0,
  "dropout": 0.1,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 16,
  "eos_token_id": 1,
  "extra_pos_embeddings": 1,
  "force_bos_token_to_be_generated": false,
  "forced_eos_token_id": 1,
  "gradient_checkpointing": false,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "init_std": 0.02,
  "is_encoder_decoder": true,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "length_penalty": 0.8,
  "max_length": 256,
  "max_position_embeddings": 1024,
  "model_type": "pegasus",
  "normalize_before": true,
  "normalize_embedding": false,
  "num_beams": 8,
  "num_hidden_layers": 16,
  "pad_token_id": 0,
  "scale_embedding": true,
  "static_position_embeddings": true,
  "task_specific_params": {
    "summarization_aeslc": {
      "length_penalty": 0.6,
      "max_length": 32,
      "max_position_embeddings": 512
    },
    "summarization_arxiv": {
      "length_penalty": 0.8,
      "max_length": 256,
      "max_position_embeddings": 1024
    },
    "summarization_big_patent": {
      "length_penalty": 0.7,
      "max_length": 256,
      "max_position_embeddings": 1024
    },
    "summarization_billsum": {
      "length_penalty": 0.6,
      "max_length": 256,
      "max_position_embeddings": 1024
    },
    "summarization_cnn_dailymail": {
      "length_penalty": 0.8,
      "max_length": 128,
      "max_position_embeddings": 1024
    },
    "summarization_gigaword": {
      "length_penalty": 0.6,
      "max_length": 32,
      "max_position_embeddings": 128
    },
    "summarization_large": {
      "length_penalty": 0.8,
      "max_length": 256,
      "max_position_embeddings": 1024
    },
    "summarization_multi_news": {
      "length_penalty": 0.8,
      "max_length": 256,
      "max_position_embeddings": 1024
    },
    "summarization_newsroom": {
      "length_penalty": 0.8,
      "max_length": 128,
      "max_position_embeddings": 512
    },
    "summarization_pubmed": {
      "length_penalty": 0.8,
      "max_length": 256,
      "max_position_embeddings": 1024
    },
    "summarization_reddit_tifu": {
      "length_penalty": 0.6,
      "max_length": 128,
      "max_position_embeddings": 512
    },
    "summarization_wikihow": {
      "length_penalty": 0.6,
      "max_length": 256,
      "max_position_embeddings": 512
    },
    "summarization_xsum": {
      "length_penalty": 0.8,
      "max_length": 64,
      "max_position_embeddings": 512
    }
  },
  "torch_dtype": "float32",
  "transformers_version": "4.18.0",
  "use_cache": true,
  "vocab_size": 96103
}