japanese-denim
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Training complete
Browse files
README.md
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---
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license: cc-by-nc-4.0
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base_model: facebook/nllb-200-distilled-600M
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tags:
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- translation
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: nllb-finetuned-eng-to-naga
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# nllb-finetuned-eng-to-naga
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6410
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- Bleu: 19.5843
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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"transformers_version": "4.35.2"
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}
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runs/Nov19_10-45-29_2bf7dfc75376/events.out.tfevents.1700394478.2bf7dfc75376.351.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:568400ba56af7348a887b4f91e8ee83bd42bf3bde98d5498c3737aed4ab64985
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size 407
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