Upload MT5ForConditionalGeneration
Browse files- config.json +53 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "lmqg_output/trimmed_qg/mt5-small-trimmed-ko-30000-koquad-qg/best_model",
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"add_prefix": false,
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"architectures": [
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"MT5ForConditionalGeneration"
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],
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"d_ff": 1024,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "mt5",
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"use_cache": true,
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"vocab_size": 30002,
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"vocabtrimmer": {
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"mining_config": {
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"dataset": "vocabtrimmer/mc4_validation",
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"dataset_column": "text",
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"dataset_name": "ko",
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"dataset_split": "validation",
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"language": "ko",
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"min_frequency": 2,
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"target_vocab_size": 30000
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},
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"stats": {
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"compression_rate_embedding": 11.995026228249744,
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"compression_rate_full": 24.913021916472896,
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"parameter_size_embedding/raw": 256114688,
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"parameter_size_embedding/trimmed": 30721024,
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"parameter_size_full/raw": 300176768,
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"parameter_size_full/trimmed": 74783104,
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"vocab_size/raw": 250112,
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"vocab_size/trimmed": 30001
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}
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.26.1"
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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 sha256:8d1a3f1a46a0f434d27d681796697a5b36e2488867bb6593b59111c01d450aa8
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size 299200197
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