Adjusted README (#2)

- Adjusted README (c64ed67f94b4d07cd4d4c1e45c83bcd9cfe18d63)
- Fixed typos (b4ecb16867a9351eb1258cddc7afa5251702683d)


Co-authored-by: Milan Nyist <[email protected]>

README.md

@@ -17,5 +17,32 @@ metrics:
 
 # Model Card for mT5-small-HunSum-1
 
-The mT5-small-HunSum-1 is a Hungarian summarization model, which was trained on the SZTAKI-HLT/HunSum-1 dataset.
+The mT5-small-HunSum-1 is a Hungarian abstractive summarization model, which was trained on the [SZTAKI-HLT/HunSum-1 dataset](https://huggingface.co/datasets/SZTAKI-HLT/HunSum-1).
+The model is based on [google/mt5-small]([google/mt5-small](https://huggingface.co/google/mt5-small)).
 
+## Intended uses & limitations
+
+- **Model type:** Text Summarization
+- **Language(s) (NLP):** Hungarian
+- **Resource(s) for more information:**
+  - [GitHub Repo](https://github.com/dorinapetra/summarization)
+ 
+## Parameters
+
+- **Batch Size:** 16
+- **Learning Rate:** 5e-5
+- **Weight Decay:** 0.01
+- **Warmup Steps:** 3000
+- **Epochs:** 10
+- **no_repeat_ngram_size:** 3
+- **num_beams:** 5
+- **early_stopping:** False
+- **encoder_no_repeat_ngram_size:** 4
+
+## Results
+
+| Metric        | Value                                       |
+| :------------ | :------------------------------------------ |
+| ROUGE-1       | 36.49                                       |
+| ROUGE-2       | 9.50                                        |
+| ROUGE-L       | 23.48                                       |