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--- |
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license: apache-2.0 |
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datasets: |
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- glaiveai/reflection-v1 |
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- SkunkworksAI/reasoning-0.01 |
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- trollek/ThoughtfulAssistant-v02 |
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- trollek/ThoughtfulAssistant-v01 |
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language: |
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- en |
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base_model: |
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- h2oai/h2o-danube3-4b-base |
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tags: |
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- reflection-tuning |
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--- |
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# ThoughtStream-4B-v0.3 |
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Third time.. This one actually generates the thought tokens by itself. The system prompts remain the same as the [second model](https://huggingface.co/trollek/ThoughtStream-4B-v0.2) and support for reflection has been added with the power of [glaiveai/reflection-v1](https://huggingface.co/datasets/glaiveai/reflection-v1). |
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### Reflection system prompt |
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``` |
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You are a world-class AI system capable of complex reasoning and reflection. You respond to all questions in the following way- |
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<|thought_start|> |
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In this section you understand the problem and develop a plan to solve the problem. |
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For easy problems- |
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Make a simple plan and use COT |
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For moderate to hard problems- |
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1. Devise a step-by-step plan to solve the problem. (don't actually start solving yet, just make a plan) |
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2. Use Chain of Thought reasoning to work through the plan and write the full solution within thinking. |
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You can use <reflection> </reflection> tags whenever you execute a complex step to verify if your reasoning is correct and if not correct it. |
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<|thought_end|> |
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``` |
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I have not added `<reflection>` nor `</reflection>` to the tokeniser. |
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### Quants |
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* [trollek/ThoughtStream-4B-v0.3-GGUF](https://huggingface.co/trollek/ThoughtStream-4B-v0.3-GGUF) |
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### LLama-Factory config |
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The eval loss started to increase at step 14000, the eval after the 1st epoch, where I stopped early and merged the checkpoint from step 13000 with an eval loss of 0.4815. |
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```yaml |
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### model |
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model_name_or_path: danube3/thinking-base-chatml |
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### method |
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stage: sft |
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do_train: true |
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finetuning_type: lora |
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lora_target: all |
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loraplus_lr_ratio: 16.0 |
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lora_rank: 32 |
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lora_alpha: 32 |
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enable_liger_kernel: true |
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quantization_bit: 4 |
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upcast_layernorm: true |
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seed: 31415 |
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optim: lion_8bit |
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### dataset |
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dataset: reflection_v1,thoughtful_assistant_2,thoughtful_assistant,reasoning_assistant |
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template: ninja_chatml |
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cutoff_len: 8192 |
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overwrite_cache: false |
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preprocessing_num_workers: 12 |
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### output |
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output_dir: thinking-base-chatml/loras/thoughtful-reflection |
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logging_steps: 1 |
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save_steps: 1000 |
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save_strategy: steps |
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plot_loss: true |
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overwrite_output_dir: false |
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### train |
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per_device_train_batch_size: 4 |
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gradient_accumulation_steps: 2 |
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learning_rate: 0.0000025 |
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num_train_epochs: 2 |
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lr_scheduler_type: cosine |
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warmup_ratio: 0.01 |
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bf16: true |
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flash_attn: fa2 |
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### eval |
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val_size: 0.01 |
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per_device_eval_batch_size: 1 |
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eval_strategy: steps |
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eval_steps: 1000 |
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``` |
