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 +177 -163

README.md CHANGED Viewed

@@ -1,164 +1,178 @@
----
-library_name: peft
-license: apache-2.0
-base_model: Qwen/Qwen2.5-1.5B
-tags:
-- axolotl
-- generated_from_trainer
-model-index:
-- name: 422d9263-c25f-4456-a0e1-3974a62a3647
-  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
-adapter: lora
-base_model: Qwen/Qwen2.5-1.5B
-bf16: true
-chat_template: llama3
-dataset_prepared_path: null
-datasets:
-- data_files:
-  - 4f20dafe8748bbe7_train_data.json
-  ds_type: json
-  format: custom
-  path: /workspace/input_data/4f20dafe8748bbe7_train_data.json
-  type:
-    field_instruction: instruction
-    field_output: output
-    format: '{instruction}'
-    no_input_format: '{instruction}'
-    system_format: '{system}'
-    system_prompt: ''
-debug: null
-deepspeed: null
-early_stopping_patience: 2
-eval_max_new_tokens: 128
-eval_steps: 150
-eval_table_size: null
-flash_attention: true
-fp16: null
-fsdp: null
-fsdp_config: null
-gradient_accumulation_steps: 4
-gradient_checkpointing: true
-group_by_length: false
-hub_model_id: Romain-XV/422d9263-c25f-4456-a0e1-3974a62a3647
-hub_repo: null
-hub_strategy: checkpoint
-hub_token: null
-learning_rate: 0.0002
-load_best_model_at_end: true
-load_in_4bit: false
-load_in_8bit: false
-local_rank: null
-logging_steps: 1
-lora_alpha: 128
-lora_dropout: 0.3
-lora_fan_in_fan_out: null
-lora_model_dir: null
-lora_r: 64
-lora_target_linear: true
-lora_target_modules:
-- q_proj
-- k_proj
-- v_proj
-lr_scheduler: cosine
-max_grad_norm: 1.0
-max_steps: 3960
-micro_batch_size: 2
-mlflow_experiment_name: /tmp/4f20dafe8748bbe7_train_data.json
-model_type: AutoModelForCausalLM
-num_epochs: 3
-optimizer: adamw_bnb_8bit
-output_dir: miner_id_24
-pad_to_sequence_len: true
-resume_from_checkpoint: null
-s2_attention: null
-sample_packing: false
-save_steps: 150
-sequence_len: 1024
-strict: false
-tf32: true
-tokenizer_type: AutoTokenizer
-train_on_inputs: false
-trust_remote_code: true
-val_set_size: 0.05
-wandb_entity: null
-wandb_mode: online
-wandb_name: 6033f53a-27fa-4c22-9b43-14cf06e74dff
-wandb_project: Gradients-On-Demand
-wandb_run: your_name
-wandb_runid: 6033f53a-27fa-4c22-9b43-14cf06e74dff
-warmup_steps: 10
-weight_decay: 0.0
-xformers_attention: null
-```
-</details><br>
-# 422d9263-c25f-4456-a0e1-3974a62a3647
-This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6321
-## 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: 0.0002
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Use OptimizerNames.ADAMW_BNB 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
-- training_steps: 3960
-### Training results
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.9197        | 0.0003 | 1    | 1.1650          |
-| 0.7604        | 0.0427 | 150  | 0.6563          |
-| 0.5294        | 0.0855 | 300  | 0.6590          |
-| 0.6802        | 0.1282 | 450  | 0.6505          |
-| 0.6097        | 0.1709 | 600  | 0.6507          |
-| 1.1434        | 0.2137 | 750  | 0.6448          |
-| 0.7645        | 0.2564 | 900  | 0.6449          |
-| 0.6757        | 0.2991 | 1050 | 0.6401          |
-| 0.5447        | 0.3419 | 1200 | 0.6304          |
-| 0.4485        | 0.3846 | 1350 | 0.6322          |
-| 0.4088        | 0.4274 | 1500 | 0.6321          |
-### Framework versions
-- PEFT 0.13.2
-- Transformers 4.46.0
-- Pytorch 2.5.0+cu124
-- Datasets 3.0.1
 - Tokenizers 0.20.1

+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-1.5B
+tags:
+- axolotl
+- generated_from_trainer
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: 422d9263-c25f-4456-a0e1-3974a62a3647
+  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
+adapter: lora
+base_model: Qwen/Qwen2.5-1.5B
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 4f20dafe8748bbe7_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/4f20dafe8748bbe7_train_data.json
+  type:
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 2
+eval_max_new_tokens: 128
+eval_steps: 150
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Romain-XV/422d9263-c25f-4456-a0e1-3974a62a3647
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 128
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 3960
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/4f20dafe8748bbe7_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 150
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 6033f53a-27fa-4c22-9b43-14cf06e74dff
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 6033f53a-27fa-4c22-9b43-14cf06e74dff
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+```
+</details><br>
+# 422d9263-c25f-4456-a0e1-3974a62a3647
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6321
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_BNB 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
+- training_steps: 3960
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9197        | 0.0003 | 1    | 1.1650          |
+| 0.7604        | 0.0427 | 150  | 0.6563          |
+| 0.5294        | 0.0855 | 300  | 0.6590          |
+| 0.6802        | 0.1282 | 450  | 0.6505          |
+| 0.6097        | 0.1709 | 600  | 0.6507          |
+| 1.1434        | 0.2137 | 750  | 0.6448          |
+| 0.7645        | 0.2564 | 900  | 0.6449          |
+| 0.6757        | 0.2991 | 1050 | 0.6401          |
+| 0.5447        | 0.3419 | 1200 | 0.6304          |
+| 0.4485        | 0.3846 | 1350 | 0.6322          |
+| 0.4088        | 0.4274 | 1500 | 0.6321          |
+### Framework versions
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
 - Tokenizers 0.20.1