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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: google/madlad400-3b-mt |
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datasets: |
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- generator |
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metrics: |
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- bleu |
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model-index: |
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- name: traduction_fon_french |
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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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# traduction_fon_french |
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This model is a fine-tuned version of [google/madlad400-3b-mt](https://huggingface.co/google/madlad400-3b-mt) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.2698 |
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- Bleu: 0.217 |
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- Gen Len: 9.6092 |
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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: 0.0003 |
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- train_batch_size: 18 |
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- eval_batch_size: 18 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
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| 3.3025 | 1.0 | 2528 | 5.2043 | 0.2814 | 8.9524 | |
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| 3.1868 | 2.0 | 5056 | 5.2746 | 0.1393 | 8.8278 | |
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| 3.0907 | 3.0 | 7584 | 5.1989 | 0.2607 | 9.6087 | |
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| 3.0409 | 4.0 | 10112 | 5.2698 | 0.217 | 9.6092 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
