Improve language tag (#1)

- Improve language tag (a06d7e47c59193ac1a28f9cfad850249b7ef8335)


Co-authored-by: Loïck BOURDOIS <[email protected]>

README.md

@@ -1,112 +1,126 @@
----
-license: apache-2.0
-base_model: Qwen/Qwen2.5-0.5B
-tags:
-- axolotl
-- generated_from_trainer
-model-index:
-- name: MetaMath-Qwen2.5-0.5b-PRM
-  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-<details><summary>See axolotl config</summary>
-
-axolotl version: `0.4.1`
-```yaml
-base_model: Qwen/Qwen2.5-0.5B
-bf16: auto
-dataset_prepared_path: /training/data/prepared
-datasets:
-- conversation: llama3
-  path: RLHFlow/Mistral-PRM-Data
-  split: train
-  train_on_split: train
-  type: sharegpt
-flash_attention: true
-fp16: false
-gradient_accumulation_steps: 4
-gradient_checkpointing: true
-hub_model_id: rawsh/MetaMath-Qwen2.5-0.5b-PRM
-hub_strategy: every_save
-learning_rate: 2.0e-06
-load_in_4bit: false
-load_in_8bit: false
-logging_steps: 2
-lr_scheduler: cosine
-max_grad_norm: 1.0
-micro_batch_size: 1
-model_type: AutoModelForCausalLM
-num_epochs: 1
-optimizer: paged_adamw_32bit
-output_dir: /training/prm
-pad_to_sequence_len: true
-push_to_hub: true
-sample_packing: true
-save_safetensors: true
-save_strategy: epoch
-save_total_limit: 4
-sequence_len: 8192
-special_tokens:
-  pad_token: <|endoftext|>
-strict: false
-tf32: true
-tokenizer_type: AutoTokenizer
-train_on_inputs: false
-trust_remote_code: true
-val_set_size: 0.0
-wandb_name: qwen2.5-0.5b-bs32_lr2e-6_prm
-wandb_project: preference-models
-warmup_ratio: 0.05
-weight_decay: 0.0
-
-```
-
-</details><br>
-
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dankgpt/preference-models/runs/eqqhapl0)
-# MetaMath-Qwen2.5-0.5b-PRM
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the None dataset.
-
-## 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: 2e-06
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 214
-- num_epochs: 1
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.42.3
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B
+tags:
+- axolotl
+- generated_from_trainer
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: MetaMath-Qwen2.5-0.5b-PRM
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: Qwen/Qwen2.5-0.5B
+bf16: auto
+dataset_prepared_path: /training/data/prepared
+datasets:
+- conversation: llama3
+  path: RLHFlow/Mistral-PRM-Data
+  split: train
+  train_on_split: train
+  type: sharegpt
+flash_attention: true
+fp16: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: rawsh/MetaMath-Qwen2.5-0.5b-PRM
+hub_strategy: every_save
+learning_rate: 2.0e-06
+load_in_4bit: false
+load_in_8bit: false
+logging_steps: 2
+lr_scheduler: cosine
+max_grad_norm: 1.0
+micro_batch_size: 1
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: paged_adamw_32bit
+output_dir: /training/prm
+pad_to_sequence_len: true
+push_to_hub: true
+sample_packing: true
+save_safetensors: true
+save_strategy: epoch
+save_total_limit: 4
+sequence_len: 8192
+special_tokens:
+  pad_token: <|endoftext|>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.0
+wandb_name: qwen2.5-0.5b-bs32_lr2e-6_prm
+wandb_project: preference-models
+warmup_ratio: 0.05
+weight_decay: 0.0
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/dankgpt/preference-models/runs/eqqhapl0)
+# MetaMath-Qwen2.5-0.5b-PRM
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the None dataset.
+
+## 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: 2e-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 214
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1