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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - kde4
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: bengali-bn-to-en
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+ results:
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+ - task:
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+ name: Sequence-to-sequence Language Modeling
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+ type: text2text-generation
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+ dataset:
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+ name: kde4
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+ type: kde4
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+ config: bn-en
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+ split: train
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+ args: bn-en
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 50.9475
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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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+ # bengali-bn-to-en
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-bn-en](https://huggingface.co/Helsinki-NLP/opus-mt-bn-en) on the kde4 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6885
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+ - Bleu: 50.9475
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+ - Gen Len: 6.7043
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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: 16
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+ - eval_batch_size: 16
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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: 10
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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 | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 1.8866 | 1.0 | 2047 | 1.6397 | 39.6617 | 8.0651 |
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+ | 1.5769 | 2.0 | 4094 | 1.6160 | 33.0247 | 8.9865 |
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+ | 1.3622 | 3.0 | 6141 | 1.6189 | 53.483 | 6.6037 |
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+ | 1.2317 | 4.0 | 8188 | 1.6280 | 51.6882 | 6.762 |
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+ | 1.1248 | 5.0 | 10235 | 1.6450 | 53.1619 | 6.5515 |
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+ | 1.0297 | 6.0 | 12282 | 1.6587 | 52.3224 | 6.5905 |
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+ | 0.9632 | 7.0 | 14329 | 1.6733 | 52.3362 | 6.5441 |
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+ | 0.8831 | 8.0 | 16376 | 1.6802 | 49.3544 | 6.8272 |
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+ | 0.8291 | 9.0 | 18423 | 1.6868 | 49.9486 | 6.792 |
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+ | 0.8175 | 10.0 | 20470 | 1.6885 | 50.9475 | 6.7043 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.29.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3