update model card README.md

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: nllb-200-distilled-600M-dz-to-en
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# nllb-200-distilled-600M-dz-to-en
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7727
+- Bleu: 42.8708
+- Gen Len: 13.335
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.9294        | 1.0   | 1688 | 0.8364          | 39.0175 | 13.2637 |
+| 0.7929        | 2.0   | 3376 | 0.7893          | 40.9994 | 13.303  |
+| 0.7069        | 3.0   | 5064 | 0.7737          | 42.4125 | 13.292  |
+| 0.6482        | 4.0   | 6752 | 0.7701          | 42.826  | 13.3287 |
+| 0.6231        | 5.0   | 8440 | 0.7727          | 42.8708 | 13.335  |
+
+
+### Framework versions
+
+- Transformers 4.29.0.dev0
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3