update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-small-finetuned-genius
+  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-small-finetuned-genius
+
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8363
+- Rouge1: 26.827
+- Rouge2: 15.696
+- Rougel: 26.773
+- Rougelsum: 26.793
+
+## 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: 4e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 7.9304        | 1.0   | 863  | 3.5226          | 14.235 | 6.78   | 14.206 | 14.168    |
+| 3.8394        | 2.0   | 1726 | 3.0382          | 22.97  | 13.166 | 22.981 | 22.944    |
+| 3.3799        | 3.0   | 2589 | 2.9010          | 24.932 | 14.54  | 24.929 | 24.919    |
+| 3.2204        | 4.0   | 3452 | 2.8441          | 26.678 | 15.587 | 26.624 | 26.665    |
+| 3.1498        | 5.0   | 4315 | 2.8363          | 26.827 | 15.696 | 26.773 | 26.793    |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.1
+- Tokenizers 0.13.3