monsoon-nlp commited on
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Files changed (5) hide show
  1. README.md +11 -3
  2. config.json +9 -3
  3. pytorch_model.bin +2 -2
  4. tokenizer_config.json +1 -1
  5. vocab.txt +0 -0
README.md CHANGED
@@ -14,8 +14,16 @@ the Maldivian News Classification task https://github.com/Sofwath/DhivehiDataset
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  - Start with MuRIL (similar to mBERT) with no Thaana vocabulary
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  - Based on PanLex dictionaries, attach 1,100 Dhivehi words to Malayalam or English embeddings
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- - Add remaining words and word-pieces from dv-wave to vocab.txt
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- - Continue BERT pretraining on a TPU
 
 
 
 
 
 
 
 
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  CoLab notebook:
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- https://colab.research.google.com/drive/1kPyd60EtOFLaHRVToNS-IKj29T9JCvMq?usp=sharing
 
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  - Start with MuRIL (similar to mBERT) with no Thaana vocabulary
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  - Based on PanLex dictionaries, attach 1,100 Dhivehi words to Malayalam or English embeddings
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+ - Add remaining words and word-pieces from BertWordPieceTokenizer / vocab.txt
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+ - Continue BERT pretraining
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+
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+ ## Performance
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+
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+ - mBERT: 52%
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+ - dv-wave (ELECTRA, 30k vocab): 89%
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+ - dv-muril (10k vocab) before BERT pretraining step: 89.8%
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+ - previous dv-muril (30k vocab): 90.7%
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+ - dv-muril (10k vocab): 91.6%
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  CoLab notebook:
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+ https://colab.research.google.com/drive/113o6vkLZRkm6OwhTHrvE0x6QPpavj0fn
config.json CHANGED
@@ -2,17 +2,23 @@
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  "architectures": [
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  "BertForMaskedLM"
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  ],
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- "embedding_size": 768,
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- "model_type": "bert",
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  "attention_probs_dropout_prob": 0.1,
 
 
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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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  "max_position_embeddings": 512,
 
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
 
 
 
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  "type_vocab_size": 2,
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- "vocab_size": 225175
 
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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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+ "embedding_size": 768,
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+ "gradient_checkpointing": false,
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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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+ "transformers_version": "4.3.2",
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  "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 206415
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  }
pytorch_model.bin CHANGED
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tokenizer_config.json CHANGED
@@ -1 +1 @@
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- {"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "lowercase": false, "special_tokens_map_file": "/root/.cache/huggingface/transformers/d66e90c2d485729cd831f5a30ce5724c25dcfbff7055265820652f3277c1412e.750293617705dd39d21eef1e163d80ca5b23e1a0ec507fff24a087c44632142c", "tokenizer_file": null, "name_or_path": "./dvadd"}
 
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+ {"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "lowercase": false, "tokenizer_file": null}
vocab.txt CHANGED
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