add model
Browse files- config.json +57 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "tuner007/pegasus_summerizer",
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"activation_dropout": 0.1,
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"activation_function": "relu",
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"add_bias_logits": false,
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"add_final_layer_norm": true,
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"architectures": [
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"PegasusForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 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": 16,
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"decoder_start_token_id": 0,
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"do_blenderbot_90_layernorm": false,
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"dropout": 0.1,
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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": 16,
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"eos_token_id": 1,
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"extra_pos_embeddings": 2,
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"force_bos_token_to_be_generated": false,
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"forced_eos_token_id": 1,
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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": 0.8,
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"max_length": 128,
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"max_position_embeddings": 1024,
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"model_type": "pegasus",
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"normalize_before": true,
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"normalize_embedding": false,
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"num_beams": 8,
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"num_hidden_layers": 16,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.9.2",
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"use_cache": true,
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"vocab_size": 96103
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:56667c4308c57b871e253fbb80fbf1d32b13b3a45de558b4190ac02187438f57
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size 2283816369
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