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ml6team
/
distilbart-tos-summarizer-tosdr

Summarization
Transformers
PyTorch
English
bart
text2text-generation
t&c
tos
distilbart
distilbart-6-6
Inference Endpoints
Model card Files Community
1
distilbart-tos-summarizer-tosdr
File size: 1,901 Bytes 
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{
  "_name_or_path": "./tempor\u00e4r/finetuned_hf_model_2022.01.19-12.36.58",
  "_num_labels": 3,
  "activation_dropout": 0.0,
  "activation_function": "gelu",
  "add_bias_logits": false,
  "add_final_layer_norm": false,
  "architectures": [
    "BartForConditionalGeneration"
  ],
  "attention_dropout": 0.0,
  "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": 6,
  "decoder_start_token_id": 2,
  "dropout": 0.1,
  "early_stopping": true,
  "encoder_attention_heads": 16,
  "encoder_ffn_dim": 4096,
  "encoder_layerdrop": 0.0,
  "encoder_layers": 6,
  "eos_token_id": 2,
  "extra_pos_embeddings": 2,
  "force_bos_token_to_be_generated": true,
  "forced_bos_token_id": 0,
  "forced_eos_token_id": 2,
  "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": 2.0,
  "max_length": 142,
  "max_position_embeddings": 1024,
  "min_length": 56,
  "model_type": "bart",
  "no_repeat_ngram_size": 3,
  "normalize_before": false,
  "normalize_embedding": true,
  "num_beams": 4,
  "num_hidden_layers": 6,
  "output_past": true,
  "pad_token_id": 1,
  "prefix": " ",
  "replacing_rate": 0,
  "scale_embedding": false,
  "static_position_embeddings": false,
  "student_decoder_layers": null,
  "student_encoder_layers": null,
  "task_specific_params": {
    "summarization": {
      "early_stopping": true,
      "length_penalty": 2.0,
      "max_length": 142,
      "min_length": 56,
      "no_repeat_ngram_size": 3,
      "num_beams": 4
    }
  },
  "torch_dtype": "float32",
  "transformers_version": "4.12.2",
  "use_cache": true,
  "vocab_size": 50264
}