Improve language tag

README.md

@@ -1,158 +1,172 @@
----
-library_name: peft
-license: apache-2.0
-base_model: Qwen/Qwen2.5-14B-Instruct
-tags:
-- generated_from_trainer
-model-index:
-- name: outputs/lora-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: `0.5.0`
-```yaml
-base_model: Qwen/Qwen2.5-14B-Instruct
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-datasets:
-  - path: output.jsonl
-    type: alpaca
-
-special_tokens:
-  bos_token:
-  eos_token: "<|im_end|>"
-  pad_token: "<|endoftext|>"
-
-dataset_prepared_path:
-val_set_size: 0.05
-output_dir: ./outputs/lora-out
-
-sequence_len: 4096
-sample_packing: false
-pad_to_sequence_len: true
-
-adapter: lora
-lora_model_dir:
-lora_r: 8
-lora_alpha: 16
-lora_dropout: 0.05
-lora_target_linear: true
-lora_fan_in_fan_out:
-lora_target_modules:
-  - gate_proj
-  - down_proj
-  - up_proj
-  - q_proj
-  - v_proj
-  - k_proj
-  - o_proj
-
-wandb_project: axolotl_gmatrix
-wandb_entity: mssong
-wandb_watch:
-wandb_run_id: 
-wandb_log_model:
-
-gradient_accumulation_steps: 2
-micro_batch_size: 1
-num_epochs: 3
-optimizer:
-lr_scheduler: cosine
-learning_rate: 0.00006
-train_on_inputs:
-group_by_length: false
-bf16: true
-fp16: false
-tf32: false
-gradient_checkpointing: true
-early_stopping_patience: 4
-local_rank:
-logging_steps: 100
-xformers_attention:
-flash_attention: true
-warmup_ratio: 0.05
-#warmup_steps: 100
-eval_steps: 100
-save_steps: 100
-save_total_limit: 2
-eval_sample_packing:
-debug:
-deepspeed:
-weight_decay: 0.01
-fsdp:
-fsdp_config:
-trust_remote_code: true
-```
-
-</details><br>
-
-# outputs/lora-out
-
-This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0875
-
-## 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: 6e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 2
-- optimizer: Use OptimizerNames.ADAMW_HF 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: 162
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0009 | 1    | 0.4243          |
-| 0.2465        | 0.0923 | 100  | 0.1338          |
-| 0.0425        | 0.1847 | 200  | 0.1110          |
-| 0.0333        | 0.2770 | 300  | 0.1051          |
-| 0.0319        | 0.3693 | 400  | 0.0933          |
-| 0.0257        | 0.4617 | 500  | 0.0886          |
-| 0.0245        | 0.5540 | 600  | 0.0898          |
-| 0.0262        | 0.6464 | 700  | 0.0889          |
-| 0.025         | 0.7387 | 800  | 0.0827          |
-| 0.0221        | 0.8310 | 900  | 0.0813          |
-| 0.0207        | 0.9234 | 1000 | 0.0901          |
-| 0.0219        | 1.0157 | 1100 | 0.0878          |
-| 0.0132        | 1.1080 | 1200 | 0.0890          |
-| 0.0154        | 1.2004 | 1300 | 0.0875          |
-
-
-### Framework versions
-
-- PEFT 0.13.2
-- Transformers 4.46.1
-- Pytorch 2.3.1+cu121
-- Datasets 3.0.1
+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-14B-Instruct
+tags:
+- generated_from_trainer
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: outputs/lora-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: `0.5.0`
+```yaml
+base_model: Qwen/Qwen2.5-14B-Instruct
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: output.jsonl
+    type: alpaca
+
+special_tokens:
+  bos_token:
+  eos_token: "<|im_end|>"
+  pad_token: "<|endoftext|>"
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/lora-out
+
+sequence_len: 4096
+sample_packing: false
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 8
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+wandb_project: axolotl_gmatrix
+wandb_entity: mssong
+wandb_watch:
+wandb_run_id: 
+wandb_log_model:
+
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+num_epochs: 3
+optimizer:
+lr_scheduler: cosine
+learning_rate: 0.00006
+train_on_inputs:
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience: 4
+local_rank:
+logging_steps: 100
+xformers_attention:
+flash_attention: true
+warmup_ratio: 0.05
+#warmup_steps: 100
+eval_steps: 100
+save_steps: 100
+save_total_limit: 2
+eval_sample_packing:
+debug:
+deepspeed:
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+trust_remote_code: true
+```
+
+</details><br>
+
+# outputs/lora-out
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0875
+
+## 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: 6e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 2
+- optimizer: Use OptimizerNames.ADAMW_HF 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: 162
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0009 | 1    | 0.4243          |
+| 0.2465        | 0.0923 | 100  | 0.1338          |
+| 0.0425        | 0.1847 | 200  | 0.1110          |
+| 0.0333        | 0.2770 | 300  | 0.1051          |
+| 0.0319        | 0.3693 | 400  | 0.0933          |
+| 0.0257        | 0.4617 | 500  | 0.0886          |
+| 0.0245        | 0.5540 | 600  | 0.0898          |
+| 0.0262        | 0.6464 | 700  | 0.0889          |
+| 0.025         | 0.7387 | 800  | 0.0827          |
+| 0.0221        | 0.8310 | 900  | 0.0813          |
+| 0.0207        | 0.9234 | 1000 | 0.0901          |
+| 0.0219        | 1.0157 | 1100 | 0.0878          |
+| 0.0132        | 1.1080 | 1200 | 0.0890          |
+| 0.0154        | 1.2004 | 1300 | 0.0875          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
 - Tokenizers 0.20.3