Update model card: remove placeholder items

README.md

@@ -1,124 +1,35 @@
 ---
-library_name: peft
-license: apache-2.0
+license: mit
 base_model: Qwen/Qwen2-0.5B
 tags:
-- axolotl
-- base_model:adapter:Qwen/Qwen2-0.5B
 - lora
-- transformers
 - cli
-- zsh
 - command-completion
-pipeline_tag: text-generation
+- zsh
 ---
 
-<!-- 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: `0.13.1`
-```yaml
-base_model: Qwen/Qwen2-0.5B
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-trust_remote_code: true
-datasets:
-- path: /Users/duoyun/Desktop/zsh-llm-cli-autocomplete-tool/src/training/data_splits_axolotl/train_axolotl.jsonl
-  type: alpaca
-dataset_prepared_path: /Users/duoyun/Desktop/zsh-llm-cli-autocomplete-tool/last_run_prepared
-val_set_size: 0.0
-output_dir: /Users/duoyun/Desktop/zsh-llm-cli-autocomplete-tool/zsh-lora-output
-adapter: lora
-lora_r: 8
-lora_alpha: 16
-lora_dropout: 0.05
-lora_target_modules:
-- q_proj
-- k_proj
-- v_proj
-- o_proj
-- gate_proj
-- up_proj
-- down_proj
-lora_modules_to_save:
-- embed_tokens
-- lm_head
-sequence_len: 512
-sample_packing: false
-pad_to_sequence_len: true
-micro_batch_size: 1
-gradient_accumulation_steps: 8
-num_epochs: 2
-optimizer: adamw_torch
-lr_scheduler: cosine
-learning_rate: 0.0002
-warmup_steps: 50
-load_in_8bit: false
-load_in_4bit: true
-bf16: false
-fp16: false
-tf32: false
-gradient_checkpointing: true
-group_by_length: false
-logging_steps: 10
-save_steps: 15
-save_safetensors: true
-save_total_limit: 2
-early_stopping_patience: null
-early_stopping_threshold: null
-wandb_mode: disabled
-fp8: false
-val_dataset:
-  path: /Users/duoyun/Desktop/zsh-llm-cli-autocomplete-tool/src/training/data_splits_axolotl/val_axolotl.jsonl
-  type: alpaca
-
-```
-
-</details><br>
-
-# Users/duoyun/Desktop/zsh-llm-cli-autocomplete-tool/zsh-lora-output
+# CLI Command Completion LoRA Adapter
 
-This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the /Users/duoyun/Desktop/zsh-llm-cli-autocomplete-tool/src/training/data_splits_axolotl/train_axolotl.jsonl dataset.
+LoRA adapter fine-tuned on Qwen/Qwen2-0.5B for CLI command completion (Zsh).
 
-## Model description
+## Model Details
 
-More information needed
+- **Base Model**: Qwen/Qwen2-0.5B
+- **Adapter Type**: LoRA
+- **Task**: CLI command completion
+- **Training Data**: Zsh command completion pairs
 
-## 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: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 8
-- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 50
-- training_steps: 49
-
-### Training results
+## Usage
 
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
 
+base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B")
+tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-0.5B")
+model = PeftModel.from_pretrained(base_model, "duoyuncloud/zsh-cli-lora")
+```
 
-### Framework versions
+## License
 
-- PEFT 0.18.1
-- Transformers 4.57.6
-- Pytorch 2.10.0
-- Datasets 4.5.0
-- Tokenizers 0.22.1
+MIT License