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--- |
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base_model: |
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- meta-llama/Llama-3.2-3B-Instruct |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: llama3.2 |
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datasets: |
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- Fischerboot/small-boi-thinkin |
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language: |
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- en |
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--- |
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# Llama-3.2-3B-SmartBoi |
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This is a finetune to include 'thinking' tags (plus others). |
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It makes this model a lot smarter (at least in maths), alltho the tags are only used in english somehow. |
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This model has not been made uncensored. |
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<img src="https://huggingface.co/Aculi/Llama-3.2-3B-SmartBoi/resolve/main/math.jpg" alt="maths.jpg" width="600" /> |
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## Prompt Template |
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This Model uses Llama-3 Chat: |
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``` |
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
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This is text |
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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``` |
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## Finetune Info: |
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The following YAML configuration was used to finetune this model: |
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```yaml |
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base_model: alpindale/Llama-3.2-3B-Instruct |
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model_type: LlamaForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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chat_template: llama3 |
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datasets: |
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- path: Fischerboot/small-boi-thinkin |
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type: sharegpt |
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conversation: llama3 |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.1 |
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output_dir: ./outputs/yuh |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 4096 |
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sample_packing: false |
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pad_to_sequence_len: true |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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- gate_proj |
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- down_proj |
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- up_proj |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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loss_watchdog_threshold: 8.0 |
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loss_watchdog_patience: 3 |
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eval_sample_packing: false |
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warmup_steps: 10 |
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evals_per_epoch: 2 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 2 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<|begin_of_text|>" |
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eos_token: "<|end_of_text|>" |
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pad_token: "<|end_of_text|>" |
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``` |
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### Training results: |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 1.5032 | 0.0000 | 1 | 1.6556 | |
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| 1.2011 | 0.5000 | 10553 | 0.6682 | |
