Adding model

README.md

@@ -1,3 +1,25 @@
----
-license: cc-by-4.0
----
+---
+language:
+- is
+- no
+license: cc-by-4.0
+datasets:
+- igc
+- ic3
+- icc
+- mc4
+---
+
+# Icelandic-Norwegian ELECTRA-Small
+This model was pretrained on the following corpora:
+* The [Icelandic Gigaword Corpus](http://igc.arnastofnun.is/) (IGC)
+* The [Icelandic Common Crawl Corpus](https://arxiv.org/abs/2201.05601) (IC3)
+* The [Icelandic Crawled Corpus](https://huggingface.co/datasets/jonfd/ICC) (ICC)
+* The [Multilingual Colossal Clean Crawled Corpus](https://huggingface.co/datasets/mc4) (mC4) - Icelandic and Norwegian text obtained from .is and .no domains, respectively
+
+The total size of the corpus after document-level deduplication and filtering was 7.41B tokens, split equally between the two languages. The model was trained using a WordPiece tokenizer with a vocabulary size of 64,105 for 1.1 million steps, and otherwise with default settings.
+
+# Acknowledgments
+This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).
+
+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.

config.json

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+{
+  "architectures": [
+    "ElectraForPreTraining"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "embedding_size": 128,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "electra",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "type_vocab_size": 2,
+  "vocab_size": 64105
+}

pytorch_model.bin

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+size 71473961

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tf_model.h5

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+size 71680316

tokenizer_config.json

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+{"do_lower_case": false, "strip_accents": false, "model_max_length": 128}