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--- |
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license: mit |
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base_model: facebook/m2m100_418M |
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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: m2m100_418M-finetuned-en-ru |
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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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# m2m100_418M-finetuned-en-ru |
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6798 |
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- Bleu: 51.7753 |
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- Gen Len: 61.5271 |
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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: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 50 |
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- total_train_batch_size: 200 |
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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: 10 |
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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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| 0.8981 | 1.0 | 9218 | 0.8277 | 48.5181 | 61.4701 | |
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| 0.8167 | 2.0 | 18437 | 0.7696 | 49.6956 | 61.4641 | |
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| 0.7718 | 3.0 | 27656 | 0.7396 | 50.4045 | 61.5042 | |
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| 0.7373 | 4.0 | 36875 | 0.7203 | 50.8134 | 61.5313 | |
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| 0.713 | 5.0 | 46094 | 0.7069 | 51.136 | 61.5931 | |
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| 0.6937 | 6.0 | 55312 | 0.6967 | 51.4274 | 61.5911 | |
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| 0.6787 | 7.0 | 64531 | 0.6889 | 51.5404 | 61.5012 | |
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| 0.6659 | 8.0 | 73750 | 0.6844 | 51.7187 | 61.5229 | |
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| 0.6584 | 9.0 | 82969 | 0.6809 | 51.8218 | 61.5392 | |
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| 0.649 | 10.0 | 92180 | 0.6798 | 51.7753 | 61.5271 | |
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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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