add base model
Browse files- config.json +68 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "allenai/led-large-16384",
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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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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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],
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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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"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_decoder_position_embeddings": 1024,
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"max_encoder_position_embeddings": 16384,
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"max_length": 1024,
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"min_length": 32,
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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": "4.16.2",
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"use_cache": false,
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"vocab_size": 50265
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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 sha256:5f4fe1a779e3d24ad9c1d5ebdb67a9796ab843f0930d9fb243b9056870676bc9
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size 1839514535
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2cfacbe013a88ea45672bbf16b7c9b6dedbe580c5f57c175c53b218c0dc6b3f
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size 4207
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