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OChemSegm-flan-T5-large

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OChemSegm-flan-T5-large
File size: 1,344 Bytes 
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{
  "_name_or_path": "google/flan-t5-large",
  "adapters": {
    "adapters": {
      "paragraph_segmentation": "2e3d1fb61268c5a4"
    },
    "config_map": {
      "2e3d1fb61268c5a4": {
        "alpha": 16,
        "architecture": "lora",
        "attn_matrices": [
          "q",
          "v"
        ],
        "composition_mode": "add",
        "dropout": 0.0,
        "init_weights": "lora",
        "intermediate_lora": true,
        "output_lora": true,
        "r": 8,
        "selfattn_lora": true,
        "use_gating": false
      }
    },
    "fusion_config_map": {},
    "fusions": {}
  },
  "architectures": [
    "T5ForConditionalGeneration"
  ],
  "d_ff": 2816,
  "d_kv": 64,
  "d_model": 1024,
  "decoder_start_token_id": 0,
  "dense_act_fn": "gelu_new",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "gated-gelu",
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": true,
  "layer_norm_epsilon": 1e-06,
  "model_type": "t5",
  "n_positions": 512,
  "num_decoder_layers": 24,
  "num_heads": 16,
  "num_layers": 24,
  "output_past": true,
  "pad_token_id": 0,
  "relative_attention_max_distance": 128,
  "relative_attention_num_buckets": 32,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.26.1",
  "use_cache": true,
  "vocab_size": 32128
}