Update README.md

README.md

@@ -5,7 +5,6 @@ tags:
 - transformers
 - unsloth
 - mllama
-license: apache-2.0
 language:
 - en
 ---
@@ -13,9 +12,58 @@ language:
 # Uploaded finetuned  model
 
 - **Developed by:** mervinpraison
-- **License:** apache-2.0
 - **Finetuned from model :** unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
 
-This mllama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+```yaml
+dataset:
+- name: mervinpraison/accelerometer-fall-axis-plots-alpaca
+dataset_num_proc: 2
+dataset_text_field: text
+gradient_accumulation_steps: 4
+hf_model_name: mervinpraison/llama-3.2-11B-vision-harupfall-axis
+huggingface_save: 'true'
+learning_rate: 0.0002
+load_in_4bit: true
+loftq_config: null
+logging_steps: 1
+lora_alpha: 16
+lora_bias: none
+lora_dropout: 0
+lora_r: 16
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+- o_proj
+- gate_proj
+- up_proj
+- down_proj
+lr_scheduler_type: linear
+max_seq_length: 2048
+max_steps: 4194
+model_name: unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit
+model_parameters: 11b
+num_train_epochs: 2
+ollama_model: mervinpraison/llama-3.2-11b-vision-harupfall-axis
+ollama_save: 'true'
+optim: adamw_8bit
+output_dir: outputs
+packing: false
+per_device_train_batch_size: 1
+quantization_method:
+- q4_k_m
+random_state: 3407
+seed: 3407
+train: 'true'
+use_gradient_checkpointing: unsloth
+use_rslora: false
+warmup_steps: 5
+weight_decay: 0.01
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+# Vision-specific parameters
+finetune_vision_layers: false
+finetune_language_layers: true
+finetune_attention_modules: true
+finetune_mlp_modules: true
+vision_instruction: "Determine whether the following accelerometer data indicates a fall or not."
+```