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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: fine_tuned_modelsNew |
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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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# fine_tuned_modelsNew |
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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: 0.0970 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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- training_steps: 2780 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5467 | 14.29 | 500 | 0.1427 | |
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| 0.0527 | 28.57 | 1000 | 0.1012 | |
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| 0.0272 | 42.86 | 1500 | 0.1052 | |
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| 0.0163 | 57.14 | 2000 | 0.0984 | |
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| 0.0106 | 71.43 | 2500 | 0.0943 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu118 |
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- Tokenizers 0.14.1 |
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