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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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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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model-index: |
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- name: qcri_test |
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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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# qcri_test |
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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 the [TEDx dataset](https://huggingface.co/datasets/IWSLT/ted_talks_iwslt). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5696 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8109 | 1.0 | 537 | 0.8636 | |
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| 0.7152 | 2.0 | 1074 | 0.7924 | |
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| 0.6361 | 3.0 | 1611 | 0.7339 | |
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| 0.6227 | 4.0 | 2148 | 0.6863 | |
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| 0.599 | 5.0 | 2685 | 0.6502 | |
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| 0.551 | 6.0 | 3222 | 0.6199 | |
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| 0.5277 | 7.0 | 3759 | 0.5982 | |
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| 0.4916 | 8.0 | 4296 | 0.5823 | |
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| 0.4766 | 9.0 | 4833 | 0.5734 | |
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| 0.4581 | 10.0 | 5370 | 0.5696 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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