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- generation_config.json +8 -0
README.md
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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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metrics:
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- bleu
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model-index:
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- name: nllb-600m-dz-en
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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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# nllb-600m-dz-en
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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: 0.1018
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- Bleu: 63.1240
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.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: linear
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- num_epochs: 5
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| No log | 1.0 | 250 | 3.2227 | 58.0755 |
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| 4.0188 | 2.0 | 500 | 0.3604 | 59.8527 |
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| 4.0188 | 3.0 | 750 | 0.1086 | 62.2629 |
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| 0.1201 | 4.0 | 1000 | 0.1018 | 63.0620 |
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| 0.1201 | 5.0 | 1250 | 0.1018 | 63.1240 |
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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"transformers_version": "4.52.4"
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}
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