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--- |
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license: apache-2.0 |
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language: |
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- en |
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- de |
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- es |
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- fr |
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tags: |
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- sft |
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inference: false |
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datasets: |
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- OpenAssistant/oasst1 |
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- databricks/databricks-dolly-15k |
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--- |
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# Open-Assistant Falcon 40B SFT MIX Model |
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This model is a fine-tuning of TII's [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b) LLM. |
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It was trained on a mixture of OASST top-2 threads (exported on June 2, 2023), Dolly-15k and synthetic instruction datasets (see dataset configuration below). |
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## Model Details |
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- **Finetuned from:** [tiiuae/falcon-40b]((https://huggingface.co/tiiuae/falcon-40b) |
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- **Model type:** Causal decoder-only transformer language model |
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- **Language:** English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish); |
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- **Demo:** [Continuations for 250 random prompts](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Fchat-gpt%2F2023-04-11_gpt-3.5-turbo_lottery.json%0Ahttps%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-06-05_OpenAssistant_falcon-40b-sft-mix-1226_sampling_noprefix2.json), [multiligual-60](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-06-05_OpenAssistant_falcon-40b-sft-mix-1226_multilingual_noprefix2.json) |
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- **Eval results:** [ilm-eval](https://tju01.github.io/ilm-eval/) |
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- **Weights & Biases**: [Training log](https://wandb.ai/open-assistant/public-sft/runs/feplc450) (checkpoint: 1226 steps) |
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- **License:** Apache 2.0 |
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- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord) |
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## Prompting |
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Two special tokens are used to mark the beginning of user and assistant turns: |
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`<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token. |
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Input prompt example: |
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``` |
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<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|> |
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``` |
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The input ends with the `<|assistant|>` token to signal that the model should |
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start generating the assistant reply. |
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## Configuration Details |
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Model: |
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``` |
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falcon-40b: |
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dtype: bf16 |
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learning_rate: 1e-5 |
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model_name: "tiiuae/falcon-40b" |
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deepspeed_config: configs/zero3_config_falcon.json |
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weight_decay: 0.0 |
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max_length: 2048 |
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warmup_steps: 20 |
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gradient_checkpointing: true |
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gradient_accumulation_steps: 1 |
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per_device_train_batch_size: 18 |
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per_device_eval_batch_size: 10 |
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eval_steps: 120 |
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save_strategy: steps |
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save_steps: 613 |
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num_train_epochs: 8 |
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save_total_limit: 4 |
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use_flash_attention: false |
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residual_dropout: 0.3 |
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residual_dropout_lima: true |
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``` |
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Dataset: |
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``` |
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sft9-stage2: |
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# oasst_export: 100.00% (29899) |
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# vicuna: 50.00% (16963) |
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# code_alpaca: 50.00% (9510) |
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# oa_wiki_qa_bart_10000row: 100.00% (9434) |
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# grade_school_math_instructions: 100.00% (8351) |
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# dolly15k: 100.00% (14250) |
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use_custom_sampler: true |
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datasets: |
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- oasst_export: |
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lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk" # sft-8.0 |
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input_file_path: 2023-06-02_oasst_all_labels.jsonl.gz |
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val_split: 0.05 |
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top_k: 2 |
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- vicuna: |
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fraction: 0.5 |
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val_split: 0.025 |
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max_val_set: 250 |
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- code_alpaca: |
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fraction: 0.5 |
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val_split: 0.05 |
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max_val_set: 250 |
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- oa_wiki_qa_bart_10000row: |
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val_split: 0.05 |
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max_val_set: 250 |
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- grade_school_math_instructions: |
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val_split: 0.05 |
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- dolly15k: |
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val_split: 0.05 |
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max_val_set: 300 |
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``` |
