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README.md

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+---
+license: apache-2.0
+language:
+- en
+- de
+- es
+- fr
+tags:
+- sft
+inference: false
+datasets:
+- OpenAssistant/oasst1
+---
+
+# Open-Assistant Falcon 40B SFT OASST-TOP1 Model
+
+This model is a fine-tuning of TII's [Falcon 40B](https://huggingface.co/tiiuae/falcon-40b) LLM. 
+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.
+
+## Model Details
+
+- **Finetuned from:** [tiiuae/falcon-40b]((https://huggingface.co/tiiuae/falcon-40b)
+- **Model type:** Causal decoder-only transformer language model
+- **Language:** English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
+- **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)
+- **Eval results:** [ilm-eval](https://tju01.github.io/ilm-eval/)
+- **Weights & Biases**: [Training log](https://wandb.ai/open-assistant/public-sft/runs/3lr77x4h) (Checkpoint: 560 steps)
+- **License:** Apache 2.0
+- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord)
+
+
+## Prompting
+
+Two special tokens are used to mark the beginning of user and assistant turns:
+`<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token.
+
+Input prompt example:
+```
+<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
+```
+The input ends with the `<|assistant|>` token to signal that the model should 
+start generating the assistant reply.
+
+## Configuration Details
+
+Model:
+```
+falcon-40b:
+  dtype: bf16
+  log_dir: "falcon_log_40b"
+  learning_rate: 5e-6
+  model_name: "tiiuae/falcon-40b"
+  deepspeed_config: configs/zero3_config_falcon.json
+  output_dir: falcon
+  weight_decay: 0.0
+  max_length: 2048
+  warmup_steps: 20
+  gradient_checkpointing: true
+  gradient_accumulation_steps: 1
+  per_device_train_batch_size: 18
+  per_device_eval_batch_size: 10
+  eval_steps: 80
+  save_steps: 80
+  num_train_epochs: 8
+  save_total_limit: 4
+  use_flash_attention: false
+  residual_dropout: 0.3
+  residual_dropout_lima: true
+  sort_by_length: false
+  save_strategy: steps
+```
+
+Dataset:
+```
+oasst-top1:
+  datasets:
+    - oasst_export:
+        lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk" # sft-8.0
+        input_file_path: 2023-05-06_OASST_labels.jsonl.gz
+        val_split: 0.05
+        top_k: 1
+```

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