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--- |
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base_model: igorktech/nllb-pruned-6L-512d-finetuned-v1 |
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tags: |
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- peft |
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- lora |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: nllb-200-tiny-tuned |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/igorktech01/nllb-finetuning/runs/n78ud9nz) |
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# nllb-200-tiny-tuned |
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This model is a fine-tuned version of [igorktech/nllb-pruned-6L-512d-finetuned-v1](https://huggingface.co/igorktech/nllb-pruned-6L-512d-finetuned-v1) on the your_dataset_name dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0980 |
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- Bleu: 52.9983 |
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- Chrf++: 73.2746 |
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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: 0.0001 |
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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: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf++ | |
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|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.2285 | 0.6563 | 5000 | 0.1744 | 37.0851 | 62.3627 | |
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| 0.1872 | 1.3125 | 10000 | 0.1214 | 47.5689 | 69.8186 | |
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| 0.1089 | 1.9688 | 15000 | 0.0980 | 52.9983 | 73.2746 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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