Update README.md

README.md

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----
-license: mit
----
+---
+license: apache-2.0
+base_model: Helsinki/opus-mt-en-mul
+datasets:
+- ai4bharat/samanantar
+language:
+- en
+- hi
+metrics:
+- bleu
+---
+
+<!-- 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. -->
+
+# tamil-finetuning
+
+This model is a fine-tuned version of [Helsinki/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on the samanantar dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3531
+- eval_bleu: 14.4184
+- eval_gen_len: 32.6451
+- eval_runtime: 7195.8762
+- eval_samples_per_second: 2.223
+- eval_steps_per_second: 2.223
+- epoch: 2.0
+- step: 8000
+
+## Model description
+
+Helsinki/opus-mt-en-mul finetuned for translation task in Hindi language 
+
+## Training and evaluation data
+
+ai4bharath/samanantar
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-5
+- warmup_steps: 500
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- num_epochs: 1
+
+### Benchamark Evaluation
+-BLEU score on Tatoeba: 12.33471341
+-BLUE score on IN-22: 26.00960094
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1