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.

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README.md +199 -185

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@@ -1,185 +1,199 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: Qwen/Qwen2.5-7B
-tags:
-- generated_from_trainer
-model-index:
-- name: outputs/out
-  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: `0.4.1`
-```yaml
-base_model: Qwen/Qwen2.5-7B
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-datasets:
-  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
-    type: sharegpt
-    conversation: chatml
-  - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
-    type: sharegpt
-    conversation: chatml
-  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
-    type: sharegpt
-    conversation: chatml
-  - path: NewEden/Gryphe-Sonnet-3.5-35k-Subset
-    type: sharegpt
-    conversation: chatml
-  - path: Nitral-AI/Reasoning-1shot_ShareGPT
-    type: sharegpt
-    conversation: chatml
-  - path: Nitral-AI/GU_Instruct-ShareGPT
-    type: sharegpt
-    conversation: chatml
-  - path: Nitral-AI/Medical_Instruct-ShareGPT
-    type: sharegpt
-    conversation: chatml
-  - path: AquaV/Resistance-Sharegpt
-    type: sharegpt
-    conversation: chatml
-  - path: AquaV/US-Army-Survival-Sharegpt
-    type: sharegpt
-    conversation: chatml
-  - path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
-    type: sharegpt
-    conversation: chatml
-chat_template: chatml
-val_set_size: 0.002
-output_dir: ./outputs/out
-adapter:
-lora_r:
-lora_alpha:
-lora_dropout:
-lora_target_linear:
-sequence_len: 8192
-sample_packing: true
-eval_sample_packing: false
-pad_to_sequence_len: true
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_swiglu: true
-liger_fused_linear_cross_entropy: true
-wandb_project: qwen7B
-wandb_entity:
-wandb_watch:
-wandb_name: qwen7B
-wandb_log_model:
-gradient_accumulation_steps: 32
-micro_batch_size: 1
-num_epochs: 2
-optimizer: adamw_bnb_8bit
-lr_scheduler: cosine
-learning_rate: 0.00001
-weight_decay: 0.05
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: true
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-warmup_ratio: 0.1
-evals_per_epoch: 4
-eval_table_size:
-eval_max_new_tokens: 128
-saves_per_epoch: 2
-debug:
-deepspeed:
-fsdp:
-fsdp_config:
-special_tokens:
-  pad_token: <pad>
-```
-</details><br>
-# outputs/out
-This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7923
-## 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: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 4
-- gradient_accumulation_steps: 32
-- total_train_batch_size: 128
-- total_eval_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 46
-- num_epochs: 2
-### Training results
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 1.0297        | 0.0043 | 1    | 1.1468          |
-| 0.8512        | 0.2515 | 58   | 0.8729          |
-| 0.8496        | 0.5030 | 116  | 0.8193          |
-| 0.8175        | 0.7546 | 174  | 0.8033          |
-| 0.7868        | 1.0041 | 232  | 0.7961          |
-| 0.8119        | 1.2555 | 290  | 0.7934          |
-| 0.799         | 1.5069 | 348  | 0.7926          |
-| 0.7891        | 1.7583 | 406  | 0.7923          |
-### Framework versions
-- Transformers 4.45.0.dev0
-- Pytorch 2.4.0+cu121
-- Datasets 2.21.0
-- Tokenizers 0.19.1

+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B
+tags:
+- generated_from_trainer
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: outputs/out
+  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: `0.4.1`
+```yaml
+base_model: Qwen/Qwen2.5-7B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+datasets:
+  - path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
+    type: sharegpt
+    conversation: chatml
+  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
+    type: sharegpt
+    conversation: chatml
+  - path: NewEden/Gryphe-Sonnet-3.5-35k-Subset
+    type: sharegpt
+    conversation: chatml
+  - path: Nitral-AI/Reasoning-1shot_ShareGPT
+    type: sharegpt
+    conversation: chatml
+  - path: Nitral-AI/GU_Instruct-ShareGPT
+    type: sharegpt
+    conversation: chatml
+  - path: Nitral-AI/Medical_Instruct-ShareGPT
+    type: sharegpt
+    conversation: chatml
+  - path: AquaV/Resistance-Sharegpt
+    type: sharegpt
+    conversation: chatml
+  - path: AquaV/US-Army-Survival-Sharegpt
+    type: sharegpt
+    conversation: chatml
+  - path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
+    type: sharegpt
+    conversation: chatml
+chat_template: chatml
+val_set_size: 0.002
+output_dir: ./outputs/out
+adapter:
+lora_r:
+lora_alpha:
+lora_dropout:
+lora_target_linear:
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+wandb_project: qwen7B
+wandb_entity:
+wandb_watch:
+wandb_name: qwen7B
+wandb_log_model:
+gradient_accumulation_steps: 32
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001
+weight_decay: 0.05
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 2
+debug:
+deepspeed:
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <pad>
+```
+</details><br>
+# outputs/out
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7923
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 46
+- num_epochs: 2
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0297        | 0.0043 | 1    | 1.1468          |
+| 0.8512        | 0.2515 | 58   | 0.8729          |
+| 0.8496        | 0.5030 | 116  | 0.8193          |
+| 0.8175        | 0.7546 | 174  | 0.8033          |
+| 0.7868        | 1.0041 | 232  | 0.7961          |
+| 0.8119        | 1.2555 | 290  | 0.7934          |
+| 0.799         | 1.5069 | 348  | 0.7926          |
+| 0.7891        | 1.7583 | 406  | 0.7923          |
+### Framework versions
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1