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--- |
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license: mit |
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tags: |
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- translation |
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- generated_from_trainer |
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datasets: |
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- kde4 |
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metrics: |
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- bleu |
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model-index: |
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- name: m2m100_418M-ja |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: kde4 |
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type: kde4 |
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config: en-ja |
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split: train |
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args: en-ja |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 0.0 |
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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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# m2m100_418M-ja |
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the kde4 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Bleu: 0.0 |
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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: 0.002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:-------:|:---------------:|:----:| |
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| 0.0 | 1.0 | 59084 | nan | 0.0 | |
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| 0.0 | 2.0 | 118168 | nan | 0.0 | |
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| 0.0 | 3.0 | 177252 | nan | 0.0 | |
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| 0.0 | 4.0 | 236336 | nan | 0.0 | |
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| 0.0 | 5.0 | 295420 | nan | 0.0 | |
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| 0.0 | 6.0 | 354504 | nan | 0.0 | |
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| 0.0 | 7.0 | 413588 | nan | 0.0 | |
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| 0.0 | 8.0 | 472672 | nan | 0.0 | |
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| 0.0 | 9.0 | 531756 | nan | 0.0 | |
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| 0.0 | 10.0 | 590840 | nan | 0.0 | |
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| 0.0 | 11.0 | 649924 | nan | 0.0 | |
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| 0.0 | 12.0 | 709008 | nan | 0.0 | |
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| 0.0 | 13.0 | 768092 | nan | 0.0 | |
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| 0.0 | 14.0 | 827176 | nan | 0.0 | |
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| 0.0 | 15.0 | 886260 | nan | 0.0 | |
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| 0.0 | 16.0 | 945344 | nan | 0.0 | |
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| 0.0 | 17.0 | 1004428 | nan | 0.0 | |
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| 0.0 | 18.0 | 1063512 | nan | 0.0 | |
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| 0.0 | 19.0 | 1122596 | nan | 0.0 | |
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| 0.0 | 20.0 | 1181680 | nan | 0.0 | |
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| 0.0 | 21.0 | 1240764 | nan | 0.0 | |
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| 0.0 | 22.0 | 1299848 | nan | 0.0 | |
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| 0.0 | 23.0 | 1358932 | nan | 0.0 | |
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| 0.0 | 24.0 | 1418016 | nan | 0.0 | |
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| 0.0 | 25.0 | 1477100 | nan | 0.0 | |
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| 0.0 | 26.0 | 1536184 | nan | 0.0 | |
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| 0.0 | 27.0 | 1595268 | nan | 0.0 | |
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| 0.0 | 28.0 | 1654352 | nan | 0.0 | |
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| 0.0 | 29.0 | 1713436 | nan | 0.0 | |
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| 0.0 | 30.0 | 1772520 | nan | 0.0 | |
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| 0.0 | 31.0 | 1831604 | nan | 0.0 | |
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| 0.0 | 32.0 | 1890688 | nan | 0.0 | |
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| 0.0 | 33.0 | 1949772 | nan | 0.0 | |
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| 0.0 | 34.0 | 2008856 | nan | 0.0 | |
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| 0.0 | 35.0 | 2067940 | nan | 0.0 | |
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| 0.0 | 36.0 | 2127024 | nan | 0.0 | |
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| 0.0 | 37.0 | 2186108 | nan | 0.0 | |
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| 0.0 | 38.0 | 2245192 | nan | 0.0 | |
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| 0.0 | 39.0 | 2304276 | nan | 0.0 | |
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| 0.0 | 40.0 | 2363360 | nan | 0.0 | |
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| 0.0 | 41.0 | 2422444 | nan | 0.0 | |
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| 0.0 | 42.0 | 2481528 | nan | 0.0 | |
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| 0.0 | 43.0 | 2540612 | nan | 0.0 | |
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| 0.0 | 44.0 | 2599696 | nan | 0.0 | |
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| 0.0 | 45.0 | 2658780 | nan | 0.0 | |
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| 0.0 | 46.0 | 2717864 | nan | 0.0 | |
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| 0.0 | 47.0 | 2776948 | nan | 0.0 | |
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| 0.0 | 48.0 | 2836032 | nan | 0.0 | |
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| 0.0 | 49.0 | 2895116 | nan | 0.0 | |
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| 0.0 | 50.0 | 2954200 | nan | 0.0 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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