Add new model to Hugging Face.
Browse files- .gitattributes +1 -0
- README.md +45 -0
- config.json +24 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- vocab.txt +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language: en
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tags: Not available
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datasets: []
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metrics: Not available
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thumbnail: null
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---
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## Model description
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PyTorch implementation containing all the modelling needed for your NLP task. Combines a language
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model and a prediction head. Allows for gradient flow back to the language model component.
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## Model Type
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not defined
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## Model Details ##
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- version: 1
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- device: cuda
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- number of labels: not found
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- number_of_parameters: 66364418
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- base_model: this is a base model itself
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## Training
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No Information
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## Evaluation
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No Information
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## quantitative_analyses
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not filled yet
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## ethical_considerations
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not filled yet
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## caveats_and_recommendations
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not filled yet
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config.json
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{
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"_name_or_path": "distilbert-base-uncased-distilled-squad",
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"activation": "gelu",
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"architectures": [
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"DistilBertForQuestionAnswering"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.20.1",
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"vocab_size": 30522
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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 sha256:416d6fdfc2077b51ade12256e6e0bc58f4e4f92d60c8befbaad8d1dbd4055310
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size 265491317
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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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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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "distilbert-base-uncased-distilled-squad",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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