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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-200-3.3B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mn_nllb_3.3B_continue |
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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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# mn_nllb_3.3B_continue |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.1049 |
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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: 5e-05 |
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- train_batch_size: 16 |
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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: 64 |
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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: 10 |
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- num_epochs: 4 |
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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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| 5.9984 | 0.128 | 20 | 6.0977 | |
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| 5.9679 | 0.256 | 40 | 6.0984 | |
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| 6.0227 | 0.384 | 60 | 6.0978 | |
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| 5.9831 | 0.512 | 80 | 6.0994 | |
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| 5.9682 | 0.64 | 100 | 6.0994 | |
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| 5.9982 | 0.768 | 120 | 6.1004 | |
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| 5.9731 | 0.896 | 140 | 6.1007 | |
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| 5.5217 | 1.0192 | 160 | 6.1018 | |
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| 5.9654 | 1.1472 | 180 | 6.1024 | |
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| 5.9801 | 1.2752 | 200 | 6.1027 | |
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| 5.9906 | 1.4032 | 220 | 6.1030 | |
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| 5.9799 | 1.5312 | 240 | 6.1031 | |
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| 5.9459 | 1.6592 | 260 | 6.1041 | |
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| 5.9605 | 1.7872 | 280 | 6.1036 | |
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| 5.9875 | 1.9152 | 300 | 6.1037 | |
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| 5.5313 | 2.0384 | 320 | 6.1040 | |
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| 5.9655 | 2.1664 | 340 | 6.1039 | |
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| 5.9331 | 2.2944 | 360 | 6.1043 | |
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| 5.9879 | 2.4224 | 380 | 6.1046 | |
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| 5.9833 | 2.5504 | 400 | 6.1045 | |
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| 5.9688 | 2.6784 | 420 | 6.1045 | |
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| 5.9644 | 2.8064 | 440 | 6.1045 | |
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| 5.9543 | 2.9344 | 460 | 6.1047 | |
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| 5.5421 | 3.0576 | 480 | 6.1048 | |
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| 5.9495 | 3.1856 | 500 | 6.1048 | |
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| 5.9712 | 3.3136 | 520 | 6.1049 | |
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| 6.0095 | 3.4416 | 540 | 6.1049 | |
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| 5.9649 | 3.5696 | 560 | 6.1049 | |
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| 5.9968 | 3.6976 | 580 | 6.1049 | |
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| 5.9725 | 3.8256 | 600 | 6.1049 | |
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| 5.9317 | 3.9536 | 620 | 6.1049 | |
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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 |
