Jón Daðason
commited on
Commit
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Parent(s):
34d31db
Adding model
Browse files- README.md +15 -3
- config.json +28 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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---
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---
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language:
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- is
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license: cc-by-4.0
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datasets:
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- igc
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---
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# Icelandic ConvBERT-Base
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This model was pretrained on the [Icelandic Gigaword Corpus](http://igc.arnastofnun.is/), which contains approximately 1.69B tokens, using default settings. The model uses a WordPiece tokenizer with a vocabulary size of 32,105.
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# Acknowledgments
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This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).
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This project was funded by the Language Technology Programme for Icelandic 2019-2023. The programme, which is managed and coordinated by [Almannarómur](https://almannaromur.is/), is funded by the Icelandic Ministry of Education, Science and Culture.
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config.json
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{
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"architectures": [
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"ConvBertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"conv_kernel_size": 9,
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"embedding_size": 768,
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"eos_token_id": 2,
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"head_ratio": 2,
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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": "convbert",
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"num_attention_heads": 12,
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"num_groups": 1,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"torch_dtype": "float32",
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"transformers_version": "4.10.0.dev0",
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"type_vocab_size": 2,
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"vocab_size": 32105
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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 sha256:2700525ebe1aa1d2ebe89eead42b3d441ed3b7d27609d0c60a0a5b8735e32659
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size 427696269
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:7aa466f2cad15b6ed56a7321cea6c631b1481d536c2b4ab370cddd03a8fb967e
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size 427944160
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tokenizer_config.json
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{"do_lower_case": false, "strip_accents": false, "model_max_length": 128}
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vocab.txt
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