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README.md CHANGED
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- ---
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- license: cc-by-4.0
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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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+
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+ # Icelandic TEAMS-Small
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+ This model was pre-trained on the 2022 version of the [Icelandic Gigaword Corpus](http://igc.arnastofnun.is/) using the [TensorFlow Model Garden](https://github.com/tensorflow/models). Its pre-training configuration is identical to that of the original [TEAMS-Small model](https://github.com/tensorflow/models/blob/master/official/projects/teams/experiments/small/wiki_books_pretrain.yaml), except for the use of a Unigram tokenizer with a vocabulary size of 64,105.
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+
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+ TEAMS is a variant of the ELECTRA architecture, described in [Training ELECTRA Augmented with Multi-word Selection](https://aclanthology.org/2021.findings-acl.219/). While architecturally equivalent to ELECTRA, TEAMS introduces an additional pre-training objective.
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+
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+ # Acknowledgments
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+ This research was supported with Cloud TPUs from Google's TPU Research Cloud (TRC).
config.json ADDED
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "model_type": "electra",
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+ "position_embedding_type": "absolute",
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+ "summary_activation": "gelu",
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+ "summary_type": "first",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.45.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 64105
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+ }
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tokenizer.json ADDED
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