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README.md CHANGED
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  ---
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- license: mit
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- inference:
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- parameters:
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- max_length: 128
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- early_stopping: true
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- widget:
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- - text: 'translate: Japanese to Ainu (沙流, first): 今日は天気がいいので、私は外に出かけるつもりです。'
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- - text: 'translate: Japanese to Ainu (沙流, first): 私はアイヌ語を一年間勉強しています。'
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- - text: 'translate: Japanese to Ainu (沙流, first): 夏は暑いので、私は嫌いです。'
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- - text: 'translate: Japanese to Ainu (沙流, first): 自分には、人間の生活というものが、見当つかないのです。'
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  ---
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  # mt5-small-ainu
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- mT5 model fine-tuned on an Ainu dataset for Ainu language generation.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ tags:
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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: mt5-small-ainu
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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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+
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  # mt5-small-ainu
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8639
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+ - Bleu: 19.8267
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0006
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|
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+ | 2.4842 | 1.0 | 4670 | 2.1813 | 8.3904 |
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+ | 2.0771 | 2.0 | 9340 | 1.9269 | 5.7433 |
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+ | 1.8222 | 3.0 | 14010 | 1.8170 | 12.8222 |
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+ | 1.6758 | 4.0 | 18680 | 1.7569 | 14.3024 |
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+ | 1.5447 | 5.0 | 23350 | 1.7277 | 12.3842 |
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+ | 1.4545 | 6.0 | 28020 | 1.7188 | 14.1082 |
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+ | 1.3417 | 7.0 | 32690 | 1.7104 | 16.6177 |
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+ | 1.2347 | 8.0 | 37360 | 1.7262 | 17.4827 |
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+ | 1.1565 | 9.0 | 42030 | 1.7268 | 17.7124 |
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+ | 1.081 | 10.0 | 46700 | 1.7581 | 18.6729 |
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+ | 1.02 | 11.0 | 51370 | 1.7768 | 20.2419 |
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+ | 0.9513 | 12.0 | 56040 | 1.8162 | 20.0469 |
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+ | 0.8934 | 13.0 | 60710 | 1.8370 | 19.7150 |
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+ | 0.8343 | 14.0 | 65380 | 1.8639 | 19.8267 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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