Improve language tag

README.md

@@ -1,142 +1,156 @@
----
-library_name: peft
-license: other
-base_model: Qwen/Qwen2.5-3B-Instruct
-tags:
-- axolotl
-- generated_from_trainer
-datasets:
-- VinitT/Cricket-Commentary-Sample
-model-index:
-- name: Commentary-qwen-3B
-  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
-
-base_model: Qwen/Qwen2.5-3B-Instruct
-load_in_8bit: false
-load_in_4bit: true
-strict: false
-
-datasets:
-  - path: VinitT/Cricket-Commentary-Sample
-    type: alpaca
-dataset_prepared_path:
-val_set_size: 0
-output_dir: ./outputs/qlora-out
-
-adapter: qlora
-lora_model_dir: 
-
-sequence_len: 1024
-sample_packing: true
-eval_sample_packing: false
-pad_to_sequence_len: true
-
-lora_r: 32
-lora_alpha: 16
-lora_dropout: 0.05
-lora_target_modules:
-lora_target_linear: true
-lora_fan_in_fan_out:
-
-hub_model_id: Commentary-qwen-3B
-
-wandb_project: Cricket-Commentary-1
-wandb_entity: 
-wandb_watch: all
-wandb_name: Cricket-Commentary-1
-wandb_log_model: 
-
-gradient_accumulation_steps: 2
-micro_batch_size: 2
-num_epochs: 1
-optimizer: paged_adamw_8bit
-lr_scheduler: cosine
-cosine_min_lr_ratio: 0.2
-learning_rate: 2e-5
-
-train_on_inputs: false
-group_by_length: false
-bf16: false
-fp16:
-tf32: false
-
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: false
-
-#gpu_memory_limit: 20GiB
-#lora_on_cpu: true         
-
-warmup_steps: 10
-evals_per_epoch: 4
-saves_per_epoch: 1
-debug:
-deepspeed: deepspeed_configs/zero1.json
-weight_decay: 0.0
-special_tokens:
-   pad_token: <|end_of_text|>
-
-```
-
-</details><br>
-
-# Commentary-qwen-3B
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the VinitT/Cricket-Commentary-Sample 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-05
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 8
-- total_eval_batch_size: 4
-- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 1.0
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.14.0
-- Transformers 4.49.0
-- Pytorch 2.5.1+cu121
-- Datasets 3.2.0
+---
+library_name: peft
+license: other
+base_model: Qwen/Qwen2.5-3B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- VinitT/Cricket-Commentary-Sample
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: Commentary-qwen-3B
+  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
+
+base_model: Qwen/Qwen2.5-3B-Instruct
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: VinitT/Cricket-Commentary-Sample
+    type: alpaca
+dataset_prepared_path:
+val_set_size: 0
+output_dir: ./outputs/qlora-out
+
+adapter: qlora
+lora_model_dir: 
+
+sequence_len: 1024
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+hub_model_id: Commentary-qwen-3B
+
+wandb_project: Cricket-Commentary-1
+wandb_entity: 
+wandb_watch: all
+wandb_name: Cricket-Commentary-1
+wandb_log_model: 
+
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+num_epochs: 1
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+cosine_min_lr_ratio: 0.2
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: false
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+
+#gpu_memory_limit: 20GiB
+#lora_on_cpu: true         
+
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed: deepspeed_configs/zero1.json
+weight_decay: 0.0
+special_tokens:
+   pad_token: <|end_of_text|>
+
+```
+
+</details><br>
+
+# Commentary-qwen-3B
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the VinitT/Cricket-Commentary-Sample 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-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 4
+- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
 - Tokenizers 0.21.0