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library_name: peft
license: cc-by-nc-4.0
base_model: facebook/nllb-200-3.3B
tags:
- base_model:adapter:facebook/nllb-200-3.3B
- lora
- transformers
metrics:
- bleu
model-index:
- name: eng_yor_unidirection
results: []
---
<!-- 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. -->
# eng_yor_unidirection
This model is a fine-tuned version of [facebook/nllb-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6342
- Bleu: 17.1195
- Gen Len: 46.6583
## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 5.3266 | 1.0 | 3441 | 1.7253 | 15.867 | 46.9732 |
| 2.0388 | 2.0 | 6882 | 1.6761 | 16.4011 | 47.0961 |
| 3.3007 | 3.0 | 10323 | 1.6516 | 16.6914 | 46.9297 |
| 2.1298 | 4.0 | 13764 | 1.6385 | 17.0557 | 46.9065 |
| 2.8537 | 5.0 | 17205 | 1.6342 | 17.1195 | 46.6583 |
### Framework versions
- PEFT 0.18.1
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2 |