Improve language tag

Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

README.md

@@ -1,30 +1,44 @@
----
-license: mit
-datasets:
-- normster/RealGuardrails
-base_model:
-- Qwen/Qwen2.5-7B
-- normster/RealGuardrails-Qwen2.5-7B-SFT
-library_name: transformers
----
-
-# RealGuardrails Models
-
-This model was trained on the [RealGuardrails](https://huggingface.co/datasets/normster/RealGuardrails) dataset, an instruction-tuning dataset focused on improving system prompt adherence and precedence. In particular, it was trained via SFT on the `systemmix` split (150K examples) using our custom training library [torchllms](https://github.com/normster/torchllms) (yielding [normster/RealGuardrails-Qwen2.5-7B-SFT](https://huggingface.co/normster/RealGuardrails-Qwen2.5-7B-SFT)), and then trained via DPO on the `preferencemix` split (30K examples), and converted back to a `transformers` compatible checkpoint.
-
-## Training Hyperparameters
-
-| Name | Value |
-| :--- | :--- |
-| DPO beta | 0.01 |
-| optimizer | AdamW |
-| batch size | 128 |
-| learning rate | 1e-5 |
-| lr scheduler | cosine with 50 warmup steps |
-| betas | (0.9, 0.999) |
-| eps | 1e-8 |
-| weight decay | 0 |
-| epochs | 1 |
-| max grad norm | 1.0 |
-| precision | bf16 |
+---
+license: mit
+datasets:
+- normster/RealGuardrails
+base_model:
+- Qwen/Qwen2.5-7B
+- normster/RealGuardrails-Qwen2.5-7B-SFT
+library_name: transformers
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+---
+
+# RealGuardrails Models
+
+This model was trained on the [RealGuardrails](https://huggingface.co/datasets/normster/RealGuardrails) dataset, an instruction-tuning dataset focused on improving system prompt adherence and precedence. In particular, it was trained via SFT on the `systemmix` split (150K examples) using our custom training library [torchllms](https://github.com/normster/torchllms) (yielding [normster/RealGuardrails-Qwen2.5-7B-SFT](https://huggingface.co/normster/RealGuardrails-Qwen2.5-7B-SFT)), and then trained via DPO on the `preferencemix` split (30K examples), and converted back to a `transformers` compatible checkpoint.
+
+## Training Hyperparameters
+
+| Name | Value |
+| :--- | :--- |
+| DPO beta | 0.01 |
+| optimizer | AdamW |
+| batch size | 128 |
+| learning rate | 1e-5 |
+| lr scheduler | cosine with 50 warmup steps |
+| betas | (0.9, 0.999) |
+| eps | 1e-8 |
+| weight decay | 0 |
+| epochs | 1 |
+| max grad norm | 1.0 |
+| precision | bf16 |
 | max length | 4096 |