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falcon-rw-1b-translation-lora
atulvik/falcon-rw-1b-translation-lora
falcon-rw-1b-translation-lora is a machine learning model from atulvik. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 142c93ca
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. -->
falcon-rw-1b-translation-lora
This model is a fine-tuned version of tiiuae/falcon-rw-1b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4202
- Bleu: 0.4517
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.5889 | 1.25 | 100 | 0.5665 | 0.4315 |
| 0.4177 | 2.5 | 200 | 0.4673 | 0.4041 |
| 0.327 | 3.75 | 300 | 0.4331 | 0.4301 |
| 0.2525 | 5.0 | 400 | 0.4202 | 0.4517 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- May 28, 2025
- Updated
- May 28, 2025