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README.md
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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: m2m100_trained
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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_trained
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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: 0.1909
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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: 7e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 4
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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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| 0.2521 | 1.0 | 3001 | 0.2594 |
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| 0.1747 | 2.0 | 6002 | 0.2115 |
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| 0.1156 | 3.0 | 9003 | 0.1953 |
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| 0.0747 | 4.0 | 12004 | 0.1909 |
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### Framework versions
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- Transformers 4.57.0
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- Pytorch 2.8.0+cu126
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- Datasets 4.2.0
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- Tokenizers 0.22.1
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