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update model card README.md

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+ ---
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+ license: cc-by-nc-4.0
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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-finetuned-pan_Guru-to-eng_Latn
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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-finetuned-pan_Guru-to-eng_Latn
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8728
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+ - Bleu: 42.5453
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+ - Gen Len: 32.376
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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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: 6
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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 | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 1.5153 | 0.72 | 500 | 1.0531 | 34.9696 | 32.548 |
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+ | 1.1282 | 1.45 | 1000 | 0.9580 | 38.3648 | 31.832 |
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+ | 1.0299 | 2.18 | 1500 | 0.9235 | 40.1212 | 31.964 |
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+ | 0.942 | 2.9 | 2000 | 0.8963 | 41.2737 | 31.884 |
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+ | 0.8869 | 3.63 | 2500 | 0.8847 | 41.4381 | 31.82 |
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+ | 0.8553 | 4.35 | 3000 | 0.8780 | 42.1548 | 32.136 |
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+ | 0.8306 | 5.08 | 3500 | 0.8733 | 42.3333 | 32.64 |
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+ | 0.8063 | 5.8 | 4000 | 0.8728 | 42.5453 | 32.376 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.2
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.4.0
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+ - Tokenizers 0.12.1