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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: 4.4321 |
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- Bleu: 3.9461 |
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- Gen Len: 7.2243 |
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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: 8 |
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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: 3 |
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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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| 2.1442 | 1.0 | 4997 | 4.4262 | 3.0781 | 7.4202 | |
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| 2.0066 | 2.0 | 9994 | 4.4181 | 3.8977 | 7.2596 | |
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| 1.948 | 3.0 | 14991 | 4.4321 | 3.9461 | 7.2243 | |
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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 |
