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license: apache-2.0
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---
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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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---
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# Open-Assistant Falcon 40B SFT OASST-TOP1 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 with top-1 (high-quality) demonstrations of the OASST data set (exported on May 6, 2023) with an effective batch size of 144 for ~7.5 epochs with LIMA style dropout (p=0.3) and a context-length of 2048 tokens.
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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%2F2023-06-03_OpenAssistant_falcon-40b-sft-top1-560_sampling_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/3lr77x4h) (Checkpoint: 560 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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log_dir: "falcon_log_40b"
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learning_rate: 5e-6
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model_name: "tiiuae/falcon-40b"
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deepspeed_config: configs/zero3_config_falcon.json
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output_dir: falcon
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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: 80
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save_steps: 80
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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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sort_by_length: false
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save_strategy: steps
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```
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Dataset:
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```
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oasst-top1:
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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: 2023-05-06_OASST_labels.jsonl.gz
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val_split: 0.05
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top_k: 1
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```
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