update model card README.md

README.md

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+---
+license: bigscience-openrail-m
+tags:
+- generated_from_trainer
+model-index:
+- name: mt5_large_riju_data
+  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. -->
+
+# mt5_large_riju_data
+
+This model is a fine-tuned version of [MahdiSUST/bn_sum](https://huggingface.co/MahdiSUST/bn_sum) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.3531
+- eval_rouge1: {'precision': 41.8541697896367, 'recall': 41.3654041539666, 'fmeasure': 40.98106539607074}
+- eval_rougeL: {'precision': 39.824364163293794, 'recall': 39.31906760605605, 'fmeasure': 38.97108720823315}
+- eval_runtime: 229.14
+- eval_samples_per_second: 4.159
+- eval_steps_per_second: 2.082
+- epoch: 2.0
+- step: 17156
+
+## 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: 5.6e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2