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falcon-7b-sft-mix-2000

Text Generation
Transformers
PyTorch
RefinedWebModel
sft
custom_code
text-generation-inference
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falcon-7b-sft-mix-2000
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---
license: apache-2.0
---
- base model: [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b)
- wandb (internal): https://wandb.ai/open-assistant/supervised-finetuning/runs/tlevhltw
- checkpoint: 2000 steps (~2.9 epochs)

Model:
```
falcon-7b:
  dtype: bf16
  log_dir: "falcon_log_7b"
  learning_rate: 1e-5
  model_name: "tiiuae/falcon-7b"
  deepspeed_config: configs/zero_config.json
  output_dir: falcon
  weight_decay: 0.0
  max_length: 2048
  warmup_steps: 20
  gradient_checkpointing: true
  gradient_accumulation_steps: 4
  per_device_train_batch_size: 4
  per_device_eval_batch_size: 8
  eval_steps: 100
  save_steps: 500
  save_strategy: steps
  num_train_epochs: 8
  save_total_limit: 4
  residual_dropout: 0.2
  residual_dropout_lima: true
```

Dataset:
```
sft9-stage2:
  # oasst_export: 100.00% (29899)
  # vicuna: 50.00% (16963)
  # code_alpaca: 50.00% (9510)
  # oa_wiki_qa_bart_10000row: 100.00% (9434)
  # grade_school_math_instructions: 100.00% (8351)
  # dolly15k: 100.00% (14250)

  use_custom_sampler: true
  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: 2023-06-02_oasst_all_labels.jsonl.gz
        val_split: 0.05
        top_k: 2
    - vicuna:
        fraction: 0.5
        val_split: 0.025
        max_val_set: 250
    - code_alpaca:
        fraction: 0.5
        val_split: 0.05
        max_val_set: 250
    - oa_wiki_qa_bart_10000row:
        val_split: 0.05
        max_val_set: 250
    - grade_school_math_instructions:
        val_split: 0.05
    - dolly15k:
        val_split: 0.05
        max_val_set: 300
```