Improve language tag

README.md

@@ -1,83 +1,94 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Qwen/Qwen2.5-14B-Instruct
-tags:
-- alignment-handbook
-- trl
-- dpo
-- generated_from_trainer
-- trl
-- dpo
-- generated_from_trainer
-datasets:
-- HuggingFaceH4/ultrafeedback_binarized
-model-index:
-- name: lambda-qwen2.5-14b-dpo-test
-  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. -->
-
-# lambda-qwen2.5-14b-dpo-test
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the HuggingFaceH4/ultrafeedback_binarized dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4919
-- Rewards/chosen: -2.4745
-- Rewards/rejected: -3.3729
-- Rewards/accuracies: 0.7400
-- Rewards/margins: 0.8984
-- Logps/rejected: -832.0724
-- Logps/chosen: -737.5234
-- Logits/rejected: -1.2739
-- Logits/chosen: -1.2560
-
-## 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: 5e-07
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 128
-- total_eval_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
-|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.5269        | 0.2094 | 100  | 0.5333          | -1.6756        | -2.3320          | 0.7000             | 0.6564          | -727.9815      | -657.6356    | -1.3952         | -1.3850       |
-| 0.5086        | 0.4187 | 200  | 0.5044          | -2.0906        | -2.9287          | 0.7040             | 0.8381          | -787.6511      | -699.1298    | -1.2939         | -1.2773       |
-| 0.4787        | 0.6281 | 300  | 0.4948          | -2.2927        | -3.1689          | 0.7320             | 0.8762          | -811.6696      | -719.3386    | -1.2846         | -1.2646       |
-| 0.4825        | 0.8375 | 400  | 0.4924          | -2.4470        | -3.3410          | 0.7400             | 0.8939          | -828.8748      | -734.7765    | -1.2644         | -1.2477       |
-
-
-### Framework versions
-
-- Transformers 4.44.2
-- Pytorch 2.4.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-14B-Instruct
+tags:
+- alignment-handbook
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: lambda-qwen2.5-14b-dpo-test
+  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. -->
+
+# lambda-qwen2.5-14b-dpo-test
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4919
+- Rewards/chosen: -2.4745
+- Rewards/rejected: -3.3729
+- Rewards/accuracies: 0.7400
+- Rewards/margins: 0.8984
+- Logps/rejected: -832.0724
+- Logps/chosen: -737.5234
+- Logits/rejected: -1.2739
+- Logits/chosen: -1.2560
+
+## 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: 5e-07
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5269        | 0.2094 | 100  | 0.5333          | -1.6756        | -2.3320          | 0.7000             | 0.6564          | -727.9815      | -657.6356    | -1.3952         | -1.3850       |
+| 0.5086        | 0.4187 | 200  | 0.5044          | -2.0906        | -2.9287          | 0.7040             | 0.8381          | -787.6511      | -699.1298    | -1.2939         | -1.2773       |
+| 0.4787        | 0.6281 | 300  | 0.4948          | -2.2927        | -3.1689          | 0.7320             | 0.8762          | -811.6696      | -719.3386    | -1.2846         | -1.2646       |
+| 0.4825        | 0.8375 | 400  | 0.4924          | -2.4470        | -3.3410          | 0.7400             | 0.8939          | -828.8748      | -734.7765    | -1.2644         | -1.2477       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1