Upload folder using huggingface_hub
Browse files- README.md +42 -0
- config.json +24 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +15 -0
- trainer_state.json +2424 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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# Logion: Machine Learning for Greek Philology
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The most advanced Ancient Greek BERT model trained to date! Read the paper on [arxiv](https://arxiv.org/abs/2305.01099) by Charlie Cowen-Breen, Creston Brooks, Johannes Haubold, and Barbara Graziosi.
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We train a WordPiece tokenizer (with a vocab size of 50,000) on a corpus of over 70 million words of premodern Greek. Using this tokenizer and the same corpus, we train a BERT model.
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Further information on this project and code for error detection can be found on [GitHub](https://github.com/charliecb/Logion).
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We're adding more models trained with cleaner data and different tokenizations - keep an eye out!
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## How to use
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Requirements:
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```python
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pip install transformers
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```
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Load the model and tokenizer directly from the HuggingFace Model Hub:
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```python
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from transformers import BertTokenizer, BertForMaskedLM
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tokenizer = BertTokenizer.from_pretrained("cabrooks/LOGION-50k_wordpiece")
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model = BertForMaskedLM.from_pretrained("cabrooks/LOGION-50k_wordpiece")
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```
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## Cite
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If you use this model in your research, please cite the paper:
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```
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@misc{logion-base,
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title={Logion: Machine Learning for Greek Philology},
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author={Cowen-Breen, C. and Brooks, C. and Haubold, J. and Graziosi, B.},
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year={2023},
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eprint={2305.01099},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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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": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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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": "4.18.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50000
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:78f0588f987f1944536b513378c8a7f3cfadb50f715b3f21fe99cd34a5e742eb
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size 996060569
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:76afbf0ad54e517e22fc3e2119a33b33d6ed1c73d131541cb3635ae3c220ee8e
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size 498043179
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ea9684e3fb5f6a59c19b5b4c8328ee6cae6e625f1fd728c7254b05c7f2b0d7e
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size 15523
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:95b61338c78fe14431c26ae634649ae774aeeb381ad7b30f6f9118bcb34277c8
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size 623
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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_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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trainer_state.json
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training_args.bin
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vocab.txt
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