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Training complete

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README.md ADDED
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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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+ - translation
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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-mt-finetuned-zindi-dyu-to-fr
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+ results: []
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+ ---
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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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+
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+ # nllb-200-distilled-600M-mt-finetuned-zindi-dyu-to-fr
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+
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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: 2.2584
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+ - Bleu: 6.4075
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 128
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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: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 3.1707 | 0.1575 | 20 | 2.7356 | 4.8084 |
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+ | 2.9074 | 0.3150 | 40 | 2.5883 | 5.0141 |
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+ | 2.7168 | 0.4724 | 60 | 2.4902 | 5.5785 |
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+ | 2.6912 | 0.6299 | 80 | 2.4154 | 5.7743 |
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+ | 2.6062 | 0.7874 | 100 | 2.3742 | 6.0010 |
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+ | 2.5794 | 0.9449 | 120 | 2.3480 | 6.1354 |
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+ | 2.4634 | 1.1024 | 140 | 2.3314 | 5.9899 |
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+ | 2.5055 | 1.2598 | 160 | 2.3167 | 6.1080 |
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+ | 2.5062 | 1.4173 | 180 | 2.3032 | 6.3784 |
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+ | 2.4771 | 1.5748 | 200 | 2.2944 | 6.4510 |
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+ | 2.4284 | 1.7323 | 220 | 2.2854 | 6.2883 |
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+ | 2.4423 | 1.8898 | 240 | 2.2783 | 6.5036 |
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+ | 2.3202 | 2.0472 | 260 | 2.2730 | 6.4039 |
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+ | 2.3855 | 2.2047 | 280 | 2.2701 | 6.2921 |
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+ | 2.4292 | 2.3622 | 300 | 2.2658 | 6.3025 |
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+ | 2.3678 | 2.5197 | 320 | 2.2626 | 6.2881 |
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+ | 2.4158 | 2.6772 | 340 | 2.2600 | 6.3684 |
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+ | 2.351 | 2.8346 | 360 | 2.2588 | 6.2852 |
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+ | 2.3755 | 2.9921 | 380 | 2.2584 | 6.2819 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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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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+ "forced_bos_token_id": 256057,
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+ "max_length": 200,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.44.2"
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+ }
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