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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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- generated_from_trainer |
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model-index: |
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- name: output |
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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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# output |
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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: 0.1872 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 4 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.7586 | 0.25 | 100 | 0.4346 | |
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| 0.3151 | 0.51 | 200 | 0.2401 | |
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| 0.2789 | 0.76 | 300 | 0.2173 | |
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| 0.2415 | 1.02 | 400 | 0.2048 | |
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| 0.166 | 1.27 | 500 | 0.2021 | |
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| 0.161 | 1.52 | 600 | 0.1979 | |
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| 0.1653 | 1.78 | 700 | 0.1931 | |
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| 0.1508 | 2.03 | 800 | 0.1921 | |
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| 0.1107 | 2.28 | 900 | 0.1894 | |
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| 0.0961 | 2.54 | 1000 | 0.1905 | |
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| 0.1185 | 2.79 | 1100 | 0.1871 | |
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| 0.1032 | 3.05 | 1200 | 0.1881 | |
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| 0.0788 | 3.3 | 1300 | 0.1881 | |
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| 0.0765 | 3.55 | 1400 | 0.1876 | |
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| 0.0816 | 3.81 | 1500 | 0.1872 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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