Improve language tag

README.md

@@ -1,70 +1,84 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Qwen/Qwen2.5-0.5B
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: phishing-text-classifier-qwen-2.5-0.5B
-  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. -->
-
-# phishing-text-classifier-qwen-2.5-0.5B
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3050
-- Accuracy: 0.9870
-
-## 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: 32
-- eval_batch_size: 32
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.7645        | 1.0   | 20   | 0.3860          | 0.8701   |
-| 0.1787        | 2.0   | 40   | 0.0593          | 0.9805   |
-| 0.098         | 3.0   | 60   | 0.5008          | 0.9545   |
-| 0.0771        | 4.0   | 80   | 0.1787          | 0.9740   |
-| 0.0151        | 5.0   | 100  | 0.2933          | 0.9740   |
-| 0.0265        | 6.0   | 120  | 0.7513          | 0.9545   |
-| 0.0024        | 7.0   | 140  | 0.4248          | 0.9805   |
-| 0.0001        | 8.0   | 160  | 0.3518          | 0.9805   |
-| 0.0           | 9.0   | 180  | 0.3060          | 0.9870   |
-| 0.0           | 10.0  | 200  | 0.3050          | 0.9870   |
-
-
-### Framework versions
-
-- Transformers 4.51.1
-- Pytorch 2.6.0
-- Datasets 3.5.0
-- Tokenizers 0.21.1
+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: phishing-text-classifier-qwen-2.5-0.5B
+  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. -->
+
+# phishing-text-classifier-qwen-2.5-0.5B
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3050
+- Accuracy: 0.9870
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 4.7645        | 1.0   | 20   | 0.3860          | 0.8701   |
+| 0.1787        | 2.0   | 40   | 0.0593          | 0.9805   |
+| 0.098         | 3.0   | 60   | 0.5008          | 0.9545   |
+| 0.0771        | 4.0   | 80   | 0.1787          | 0.9740   |
+| 0.0151        | 5.0   | 100  | 0.2933          | 0.9740   |
+| 0.0265        | 6.0   | 120  | 0.7513          | 0.9545   |
+| 0.0024        | 7.0   | 140  | 0.4248          | 0.9805   |
+| 0.0001        | 8.0   | 160  | 0.3518          | 0.9805   |
+| 0.0           | 9.0   | 180  | 0.3060          | 0.9870   |
+| 0.0           | 10.0  | 200  | 0.3050          | 0.9870   |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.6.0
+- Datasets 3.5.0
+- Tokenizers 0.21.1