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  1. config.json +69 -0
  2. generation_config.json +14 -0
  3. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "biu-nlp/QAmden",
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+ "_num_labels": 3,
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "architectures": [
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+ "LEDForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "attention_window": [
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+ 1024,
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+ 1024,
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+ 1024,
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+ 1024,
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+ 1024,
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+ 1024,
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+ "bos_token_id": 0,
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+ "classif_dropout": 0.0,
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+ "classifier_dropout": 0.0,
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+ "d_model": 1024,
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+ "decoder_attention_heads": 16,
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+ "decoder_ffn_dim": 4096,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "encoder_attention_heads": 16,
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+ "encoder_ffn_dim": 4096,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 12,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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+ "length_penalty": 2.0,
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+ "max_decoder_position_embeddings": 1024,
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+ "max_encoder_position_embeddings": 16384,
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+ "max_length": 300,
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+ "min_length": 56,
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+ "model_type": "led",
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "num_hidden_layers": 12,
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+ "output_past": false,
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+ "pad_token_id": 1,
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+ "prefix": " ",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.29.2",
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+ "use_cache": true,
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+ "vocab_size": 50266
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "length_penalty": 2.0,
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+ "max_length": 300,
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+ "min_length": 56,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.29.2"
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+ }
pytorch_model.bin ADDED
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+ size 1839604653