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--- |
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base_model: facebook/nllb-200-distilled-600M |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: nllb-200-distilled-600M_dyu-fra |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tanihaha/huggingface/runs/asz90rzl) |
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# nllb-200-distilled-600M_dyu-fra |
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0050 |
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- Bleu: 10.2534 |
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- Gen Len: 12.4147 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 127 | 2.2376 | 7.0259 | 12.5207 | |
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| No log | 2.0 | 254 | 2.1404 | 8.1151 | 12.2665 | |
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| No log | 3.0 | 381 | 2.0926 | 8.5971 | 12.3487 | |
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| 2.3978 | 4.0 | 508 | 2.0610 | 9.0697 | 12.4276 | |
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| 2.3978 | 5.0 | 635 | 2.0368 | 9.1953 | 12.5058 | |
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| 2.3978 | 6.0 | 762 | 2.0260 | 9.6559 | 12.5785 | |
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| 2.3978 | 7.0 | 889 | 2.0141 | 9.9721 | 12.3861 | |
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| 1.9131 | 8.0 | 1016 | 2.0068 | 9.9515 | 12.5071 | |
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| 1.9131 | 9.0 | 1143 | 2.0036 | 10.1965 | 12.3855 | |
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| 1.9131 | 10.0 | 1270 | 2.0004 | 10.1496 | 12.5085 | |
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| 1.9131 | 11.0 | 1397 | 1.9989 | 10.203 | 12.6275 | |
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| 1.7208 | 12.0 | 1524 | 1.9997 | 10.3765 | 12.5459 | |
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| 1.7208 | 13.0 | 1651 | 1.9979 | 10.5581 | 12.4963 | |
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| 1.7208 | 14.0 | 1778 | 1.9963 | 10.4845 | 12.3494 | |
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| 1.7208 | 15.0 | 1905 | 2.0023 | 10.4471 | 12.4154 | |
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| 1.6069 | 16.0 | 2032 | 2.0019 | 10.3647 | 12.395 | |
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| 1.6069 | 17.0 | 2159 | 2.0022 | 10.3361 | 12.3474 | |
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| 1.6069 | 18.0 | 2286 | 2.0040 | 10.2938 | 12.3576 | |
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| 1.6069 | 19.0 | 2413 | 2.0053 | 10.2612 | 12.3868 | |
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| 1.5427 | 20.0 | 2540 | 2.0050 | 10.2534 | 12.4147 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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