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

@@ -1,285 +1,299 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Qwen/Qwen2.5-7B-Instruct
-tags:
-- generated_from_trainer
-datasets:
-- shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
-- shisa-ai/shisa-v2-roleplaying-sft
-- shisa-ai/translation_set_april_6
-- shisa-ai/rewild-set-deepseek-subset
-- shisa-ai/magpie-ultra-set
-- shisa-ai/magpie-advanced-questions-set
-- shisa-ai/japan-magpie-set
-- shisa-ai/shisa-v2-instruction-following-sft
-model-index:
-- name: outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
-  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. -->
-
-[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
-<details><summary>See axolotl config</summary>
-
-axolotl version: `0.8.0.dev0`
-```yaml
-# train w/ shisa-ai/shisa-v1-athenev2-reannotated-filtered
-
-base_model: Qwen/Qwen2.5-7B-Instruct
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-# User Liger
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_glu_activation: true
-liger_fused_linear_cross_entropy: true
-
-datasets:
-  - path: shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
-    type: chat_template
-    field_messages: conversations
-    message_field_role: from
-    message_field_content: value
-  - path: shisa-ai/shisa-v2-roleplaying-sft
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-  - path: shisa-ai/translation_set_april_6
-    split: train[:25%]
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-  - path: shisa-ai/rewild-set-deepseek-subset
-    split: train[:25%]
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-  - path: shisa-ai/magpie-ultra-set
-    split: train[:8%]
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-  - path: shisa-ai/magpie-advanced-questions-set
-    split: train[:8%]
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-  - path: shisa-ai/japan-magpie-set
-    split: train
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-  - path: shisa-ai/shisa-v2-instruction-following-sft
-    split: train[:50%]
-    type: chat_template
-    field_messages: conversations
-    message_property_mappings:
-      role: role
-      content: content
-    roles:
-      system:
-        - system
-      assistant:
-        - gpt
-        - model
-        - assistant
-      user:
-        - human
-        - user
-    roles_to_train: ["assistant"]
-    
-dataset_prepared_path: last_run_prepared
-val_set_size: 0.05
-output_dir: ./outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
-
-sequence_len: 8192
-sample_packing: true
-pad_to_sequence_len: true
-
-# marginal difference
-neftune_noise_alpha: 5
-
-use_wandb: true
-wandb_project: shisa-v2
-wandb_entity: augmxnt
-wandb_name: ablation-191-finalsft2-shisa-v2-qwen2.5-7b
-
-gradient_accumulation_steps: 1
-micro_batch_size: 4
-num_epochs: 3
-optimizer: paged_adamw_8bit
-lr_scheduler: linear
-learning_rate: 1e-5
-
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: false
-
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: false
-early_stopping_patience:
-resume_from_checkpoint:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-
-warmup_steps: 100
-evals_per_epoch: 2
-eval_table_size:
-saves_per_epoch: 0
-save_total_limit: 1 # Only store a single checkpoint
-debug:
-deepspeed: zero3_bf16.json
-weight_decay: 1e-4
-fsdp:
-fsdp_config:
-special_tokens:
-
-```
-
-</details><br>
-
-# outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt, the shisa-ai/shisa-v2-roleplaying-sft, the shisa-ai/translation_set_april_6, the shisa-ai/rewild-set-deepseek-subset, the shisa-ai/magpie-ultra-set, the shisa-ai/magpie-advanced-questions-set, the shisa-ai/japan-magpie-set and the shisa-ai/shisa-v2-instruction-following-sft datasets.
-It achieves the following results on the evaluation set:
-- Loss: 0.7119
-
-## 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: 1e-05
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 32
-- total_train_batch_size: 128
-- total_eval_batch_size: 128
-- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 3.0
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.0667        | 0.0026 | 1    | 1.0905          |
-| 0.7574        | 0.5    | 189  | 0.7749          |
-| 0.7322        | 1.0    | 378  | 0.7368          |
-| 0.6711        | 1.5    | 567  | 0.7233          |
-| 0.6645        | 2.0    | 756  | 0.7122          |
-| 0.6144        | 2.5    | 945  | 0.7146          |
-| 0.6031        | 3.0    | 1134 | 0.7119          |
-
-
-### Framework versions
-
-- Transformers 4.50.0
-- Pytorch 2.6.0+cu124
-- Datasets 3.4.1
-- Tokenizers 0.21.1
+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- generated_from_trainer
+datasets:
+- shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
+- shisa-ai/shisa-v2-roleplaying-sft
+- shisa-ai/translation_set_april_6
+- shisa-ai/rewild-set-deepseek-subset
+- shisa-ai/magpie-ultra-set
+- shisa-ai/magpie-advanced-questions-set
+- shisa-ai/japan-magpie-set
+- shisa-ai/shisa-v2-instruction-following-sft
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.8.0.dev0`
+```yaml
+# train w/ shisa-ai/shisa-v1-athenev2-reannotated-filtered
+
+base_model: Qwen/Qwen2.5-7B-Instruct
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+# User Liger
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+datasets:
+  - path: shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+  - path: shisa-ai/shisa-v2-roleplaying-sft
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/translation_set_april_6
+    split: train[:25%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/rewild-set-deepseek-subset
+    split: train[:25%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/magpie-ultra-set
+    split: train[:8%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/magpie-advanced-questions-set
+    split: train[:8%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/japan-magpie-set
+    split: train
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/shisa-v2-instruction-following-sft
+    split: train[:50%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+    
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+# marginal difference
+neftune_noise_alpha: 5
+
+use_wandb: true
+wandb_project: shisa-v2
+wandb_entity: augmxnt
+wandb_name: ablation-191-finalsft2-shisa-v2-qwen2.5-7b
+
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 3
+optimizer: paged_adamw_8bit
+lr_scheduler: linear
+learning_rate: 1e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+evals_per_epoch: 2
+eval_table_size:
+saves_per_epoch: 0
+save_total_limit: 1 # Only store a single checkpoint
+debug:
+deepspeed: zero3_bf16.json
+weight_decay: 1e-4
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt, the shisa-ai/shisa-v2-roleplaying-sft, the shisa-ai/translation_set_april_6, the shisa-ai/rewild-set-deepseek-subset, the shisa-ai/magpie-ultra-set, the shisa-ai/magpie-advanced-questions-set, the shisa-ai/japan-magpie-set and the shisa-ai/shisa-v2-instruction-following-sft datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.7119
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0667        | 0.0026 | 1    | 1.0905          |
+| 0.7574        | 0.5    | 189  | 0.7749          |
+| 0.7322        | 1.0    | 378  | 0.7368          |
+| 0.6711        | 1.5    | 567  | 0.7233          |
+| 0.6645        | 2.0    | 756  | 0.7122          |
+| 0.6144        | 2.5    | 945  | 0.7146          |
+| 0.6031        | 3.0    | 1134 | 0.7119          |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1