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Browse files- README.md +21 -0
- config.json +37 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- tokenizer_config.json +8 -0
- vocab-src.json +0 -0
- vocab-tgt.json +0 -0
README.md
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---
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license: cc-by-sa-4.0
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---
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---
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language:
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- en
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- et
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- multilingual
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license: cc-by-sa-4.0
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tags:
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- translation
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- wmt20
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datasets:
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- wmt/europarl
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widget:
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- text: "Jupiter on Päikesest kauguselt viies planeet ja Päikesesüsteemi kõige suurem planeet."
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- text: "Plejaadid on Sõnni tähtkujus asuv hajusparv, mille Messier' kataloogi tähiseks on M45."
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- text: "Palju on vaieldud Vikipeedia usaldatavuse ja täpsuse üle. Kritiseeritud on selle avatust vandaalidele, ebaühtlast kvaliteeti ja vasturääkivust, mitteneutraalsust ja konsensuse või populaarsuse eelistamist kvalifitseeritusele."
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---
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# Fairseq Et-En NMT WMT20 MLQE
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This repository contains the Estonian-English model trained with the [fairseq toolkit](https://github.com/pytorch/fairseq) that was used to produce translations used in the WMT20 shared task on quality estimation (QE) on the [MLQE dataset](https://github.com/facebookresearch/mlqe).
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The checkpoint was converted from the original fairseq checkpoint available [here](https://github.com/facebookresearch/mlqe/tree/master/nmt_models) using the `convert_fsmt_original_pytorch_checkpoint_to_pytorch.py` script from the 🤗 Transformers library (v4.26.0).
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Please refer to the repositories linked above for additional information on usage, parameters and training data
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config.json
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{
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"architectures": [
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"FSMTForConditionalGeneration"
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],
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"model_type": "fsmt",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"attention_dropout": 0.0,
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"d_model": 512,
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"dropout": 0.3,
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"init_std": 0.02,
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"max_position_embeddings": 1024,
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"num_hidden_layers": 6,
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"src_vocab_size": 32760,
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"tgt_vocab_size": 18592,
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"langs": [
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"et",
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"en"
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],
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 2048,
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"encoder_layerdrop": 0,
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"encoder_layers": 6,
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 2048,
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"decoder_layerdrop": 0,
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"decoder_layers": 6,
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"bos_token_id": 0,
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"pad_token_id": 1,
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"eos_token_id": 2,
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"is_encoder_decoder": true,
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"scale_embedding": true,
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"tie_word_embeddings": false,
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"num_beams": 5,
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"early_stopping": false,
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"length_penalty": 1.0
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c3dff33aafb02e93e5f10603795ea1b6ff1531b6bce69e54d21ffc0f475dea9
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size 357428997
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tokenizer_config.json
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{
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"langs": [
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"et",
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"en"
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],
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"model_max_length": 1024,
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"do_lower_case": false
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}
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vocab-src.json
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vocab-tgt.json
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