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---
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library_name: transformers
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license: mit
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base_model: facebook/m2m100_418M
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tags:
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- generated_from_trainer
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model-index:
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- name: M2M_Web_en-ga_fixed
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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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# M2M_Web_en-ga_fixed
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1600
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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: 16
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- eval_batch_size: 16
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- seed: 7182
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- optimizer: Use adafactor and the args are:
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No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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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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| 0.1918 | 1.0 | 150030 | 0.1850 |
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| 0.1725 | 2.0 | 300060 | 0.1667 |
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| 0.1605 | 3.0 | 450090 | 0.1600 |
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### Framework versions
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- Transformers 4.48.1
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- Pytorch 2.4.0
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- Datasets 2.19.1
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- Tokenizers 0.21.0
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