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--- |
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base_model: facebook/nllb-200-distilled-600M |
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library_name: peft |
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license: cc-by-nc-4.0 |
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metrics: |
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- bleu |
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- rouge |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: NLLB_QLoRA |
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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/FinalProject_/NLLB/runs/li2er79u) |
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# NLLB_QLoRA |
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3340 |
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- Bleu: 31.5945 |
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- Rouge: 0.5906 |
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- Gen Len: 17.338 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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 | Rouge | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:| |
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| 2.858 | 1.0 | 875 | 1.4023 | 30.5493 | 0.5771 | 17.3705 | |
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| 1.4649 | 2.0 | 1750 | 1.3447 | 31.343 | 0.5886 | 17.284 | |
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| 1.4247 | 3.0 | 2625 | 1.3340 | 31.5945 | 0.5906 | 17.338 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
