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Browse files- config.json +33 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "albert-base-v2",
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"architectures": [
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"AlbertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.21.1",
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"type_vocab_size": 2,
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"vocab_size": 25000
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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 sha256:2a9cd18c5c839b16430a23b1fa496edf4aca287c723ff4894c227330d00bb4b6
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size 42320904
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": {
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "[SEP]",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"eos_token": "[SEP]",
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"keep_accents": false,
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"mask_token": {
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"__type": "AddedToken",
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"content": "[MASK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 512,
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"name_or_path": "/home/ubuntu/project/dna_methy/pretrainedModel/albert/tokenizer/albert_seq_tax_trained",
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"pad_token": "<pad>",
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"remove_space": true,
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"tokenizer_class": "AlbertTokenizer",
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"unk_token": "<unk>"
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}
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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:c70ee575d21356126d6e47150a8e56cb142ec71cd250f766f8553f33c524c69f
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size 3451
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