update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: nllb-200-distilled-600M-finetuned-isv_v2
+  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-finetuned-isv_v2
+
+This model is a fine-tuned version of [Salavat/nllb-200-distilled-600M-finetuned-isv_v2](https://huggingface.co/Salavat/nllb-200-distilled-600M-finetuned-isv_v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0552
+- Bleu: 9.1195
+- Gen Len: 11.252
+
+## 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: 3e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 1.5967        | 1.0   | 8000 | 3.0552          | 9.1195 | 11.252  |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3