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--- |
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license: mit |
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base_model: MubarakB/m2m100-lg-to-en-v2 |
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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: m2m100-lg-to-en-v5 |
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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-lg-to-en-v5 |
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This model is a fine-tuned version of [MubarakB/m2m100-lg-to-en-v2](https://huggingface.co/MubarakB/m2m100-lg-to-en-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5196 |
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- Bleu: 0.1371 |
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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: 8 |
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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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- 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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| 2.6476 | 1.0 | 237 | 0.7225 | 0.3822 | |
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| 0.5312 | 2.0 | 474 | 0.5011 | 0.0973 | |
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| 0.4211 | 3.0 | 711 | 0.4924 | 0.3545 | |
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| 0.4015 | 4.0 | 948 | 0.4957 | 0.1006 | |
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| 0.3431 | 5.0 | 1185 | 0.5096 | 0.1953 | |
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| 0.2992 | 6.0 | 1422 | 0.5196 | 0.1371 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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