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NLLB_QLoRA
yasmineee/NLLB_QLoRA
NLLB_QLoRA is a machine learning model from yasmineee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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.json17.4 MB · 64%
At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024
- SHA
- dec0cc52
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
NLLB_QLoRA
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3340
- Bleu: 31.5945
- Rouge: 0.5906
- Gen Len: 17.338
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len |
|---|---|---|---|---|---|---|
| 2.858 | 1.0 | 875 | 1.4023 | 30.5493 | 0.5771 | 17.3705 |
| 1.4649 | 2.0 | 1750 | 1.3447 | 31.343 | 0.5886 | 17.284 |
| 1.4247 | 3.0 | 2625 | 1.3340 | 31.5945 | 0.5906 | 17.338 |
Framework versions
- PEFT 0.12.0
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024