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

@@ -1,75 +1,89 @@
----
-library_name: peft
-license: apache-2.0
-base_model: Qwen/Qwen2.5-7B-Instruct
-tags:
-- llama-factory
-- lora
-- generated_from_trainer
-model-index:
-- name: Qwen2.5-7B-Instruct-PsyCourse-doc-fold7
-  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. -->
-
-# Qwen2.5-7B-Instruct-PsyCourse-doc-fold7
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the course-doc-train-fold7 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1027
-
-## 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: 0.0001
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 16
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5.0
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.2238        | 0.3951 | 10   | 0.2172          |
-| 0.0965        | 0.7901 | 20   | 0.1523          |
-| 0.1337        | 1.1852 | 30   | 0.1231          |
-| 0.0717        | 1.5802 | 40   | 0.1139          |
-| 0.1129        | 1.9753 | 50   | 0.1094          |
-| 0.0416        | 2.3704 | 60   | 0.1061          |
-| 0.0564        | 2.7654 | 70   | 0.1052          |
-| 0.1234        | 3.1605 | 80   | 0.1038          |
-| 0.0923        | 3.5556 | 90   | 0.1033          |
-| 0.0648        | 3.9506 | 100  | 0.1033          |
-| 0.0595        | 4.3457 | 110  | 0.1029          |
-| 0.1126        | 4.7407 | 120  | 0.1027          |
-
-
-### Framework versions
-
-- PEFT 0.12.0
-- Transformers 4.46.1
-- Pytorch 2.5.1+cu124
-- Datasets 3.1.0
+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: Qwen2.5-7B-Instruct-PsyCourse-doc-fold7
+  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. -->
+
+# Qwen2.5-7B-Instruct-PsyCourse-doc-fold7
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the course-doc-train-fold7 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1027
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2238        | 0.3951 | 10   | 0.2172          |
+| 0.0965        | 0.7901 | 20   | 0.1523          |
+| 0.1337        | 1.1852 | 30   | 0.1231          |
+| 0.0717        | 1.5802 | 40   | 0.1139          |
+| 0.1129        | 1.9753 | 50   | 0.1094          |
+| 0.0416        | 2.3704 | 60   | 0.1061          |
+| 0.0564        | 2.7654 | 70   | 0.1052          |
+| 0.1234        | 3.1605 | 80   | 0.1038          |
+| 0.0923        | 3.5556 | 90   | 0.1033          |
+| 0.0648        | 3.9506 | 100  | 0.1033          |
+| 0.0595        | 4.3457 | 110  | 0.1029          |
+| 0.1126        | 4.7407 | 120  | 0.1027          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
 - Tokenizers 0.20.3