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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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model-index: |
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- name: m2m100-lg-to-en-v4 |
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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-v4 |
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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: 0.5477 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8978 | 1.0 | 119 | 0.5258 | |
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| 0.4898 | 2.0 | 238 | 0.5082 | |
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| 0.4377 | 3.0 | 357 | 0.5151 | |
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| 0.367 | 4.0 | 476 | 0.5277 | |
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| 0.3086 | 5.0 | 595 | 0.5477 | |
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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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