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README.md
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---
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library_name: peft
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license: cc-by-nc-4.0
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base_model: facebook/nllb-200-distilled-1.3B
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tags:
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- generated_from_trainer
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model-index:
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- name: mon_nllb_3B_r32
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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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# mon_nllb_3B_r32
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This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.2132
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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: 40
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 160
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 7.4511 | 0.0761 | 500 | 7.2785 |
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| 7.3373 | 0.1522 | 1000 | 7.2305 |
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| 7.2568 | 0.2283 | 1500 | 7.2138 |
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| 7.2365 | 0.3044 | 2000 | 7.2126 |
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| 7.2619 | 0.3805 | 2500 | 7.2130 |
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| 7.2272 | 0.4567 | 3000 | 7.2117 |
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| 7.2336 | 0.5328 | 3500 | 7.2137 |
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| 7.2263 | 0.6089 | 4000 | 7.2139 |
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| 7.2321 | 0.6850 | 4500 | 7.2129 |
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| 7.2257 | 0.7611 | 5000 | 7.2124 |
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| 7.2248 | 0.8372 | 5500 | 7.2121 |
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| 7.2289 | 0.9133 | 6000 | 7.2121 |
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| 7.2144 | 0.9894 | 6500 | 7.2131 |
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| 7.2155 | 1.0656 | 7000 | 7.2133 |
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| 7.215 | 1.1417 | 7500 | 7.2130 |
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| 7.2146 | 1.2178 | 8000 | 7.2122 |
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| 7.1995 | 1.2939 | 8500 | 7.2126 |
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| 7.2025 | 1.3700 | 9000 | 7.2136 |
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| 7.2302 | 1.4462 | 9500 | 7.2128 |
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| 7.2078 | 1.5223 | 10000 | 7.2133 |
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| 7.2063 | 1.5984 | 10500 | 7.2133 |
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| 7.216 | 1.6745 | 11000 | 7.2128 |
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| 7.1949 | 1.7506 | 11500 | 7.2132 |
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| 7.2213 | 1.8267 | 12000 | 7.2131 |
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| 7.2236 | 1.9028 | 12500 | 7.2132 |
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| 7.2244 | 1.9789 | 13000 | 7.2132 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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