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--- |
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license: mit |
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base_model: kazandaev/m2m100_418M |
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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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- wmt16 |
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metrics: |
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- bleu |
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model-index: |
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- name: m2m100_418M |
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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: wmt16 |
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type: wmt16 |
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config: ru-en |
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split: validation |
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args: ru-en |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 32.0585 |
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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 |
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This model is a fine-tuned version of [kazandaev/m2m100_418M](https://huggingface.co/kazandaev/m2m100_418M) on the custom en-ru dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8954 |
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- Bleu: 32.0585 |
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- Gen Len: 36.1643 |
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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: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 40 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.8087 | 1.0 | 47790 | 0.9542 | 30.786 | 36.1469 | |
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| 0.7266 | 2.0 | 95580 | 0.8954 | 32.0585 | 36.1643 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.2.0.dev20230920+cu121 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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