update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: mT5_multilingual_XLSum-marathi-summarization
+  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_multilingual_XLSum-marathi-summarization
+
+This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0760
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5994        | 0.55  | 100  | 0.1662          |
+| 0.2766        | 1.09  | 200  | 0.1032          |
+| 0.1967        | 1.64  | 300  | 0.0881          |
+| 0.194         | 2.19  | 400  | 0.0850          |
+| 0.1667        | 2.73  | 500  | 0.0821          |
+| 0.1615        | 3.28  | 600  | 0.0780          |
+| 0.1368        | 3.83  | 700  | 0.0783          |
+| 0.1372        | 4.37  | 800  | 0.0762          |
+| 0.1265        | 4.92  | 900  | 0.0760          |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.0+cpu
+- Datasets 2.1.0
+- Tokenizers 0.13.3