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update the 7B model script for memory efficiency #76

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14 changes: 8 additions & 6 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -9,19 +9,21 @@ In this repo, you'll find code for:

# Contents

- [OpenChatKit](#openchatkit)
- [Contents](#contents)
- [Requirements](#requirements)
- [Pre-trained Weights](#pre-trained-weights)
- [Datasets](#datasets)
* [Data Contributions](#data-contributions)
- [Data Contributions](#data-contributions)
- [Pretrained Base Model](#pretrained-base-model)
- [Training and Finetuning](#training-and-finetuning)
* [(Optional) 8bit Adam](#optional-8bit-adam)
* [Train GPT-NeoX-Chat-Base-20B](#train-gpt-neox-chat-base-20b)
- [(Optional) 8bit Adam](#optional-8bit-adam)
- [Train GPT-NeoX-Chat-Base-20B](#train-gpt-neox-chat-base-20b)
- [Converting Weights to Huggingface Format](#converting-weights-to-huggingface-format)
- [Inference](#inference)
- [Monitoring](#monitoring)
* [Loguru](#loguru)
* [Weights & Biases](#weights--biases)
- [Loguru](#loguru)
- [Weights \& Biases](#weights--biases)
- [Experimental: Retrieval-Augmented Models](#experimental-retrieval-augmented-models)
- [License](#license)
- [Citing OpenChatKit](#citing-openchatkit)
Expand Down Expand Up @@ -122,7 +124,7 @@ As the training loop runs, checkpoints are saved to the `model_ckpts` directory

Please see [the training README](training/README.md) for more details about customizing the training run.

The `training/finetune_Pythia-Chat-Base-7B.sh` script is another example to fine-tune a 7B pythia (gpt-neox) model. The script launches 8 processes with a pipeline-parallel degree of 4 and a data-parallel degree of 2.
The `training/finetune_Pythia-Chat-Base-7B.sh` script is another example to fine-tune a 7B pythia (gpt-neox) model. The script launches 8 processes with a pipeline-parallel degree of 8 and a data-parallel degree of 1.

# Converting Weights to Huggingface Format

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6 changes: 3 additions & 3 deletions training/finetune_Pythia-Chat-Base-7B.sh
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Expand Up @@ -52,10 +52,10 @@ ARGS="--model-name ${BASE_MODEL} \
--checkpoint-path ${DIR}/../model_ckpts/${MODEL_NAME} \
--total-steps 20000 --warmup-steps 10 --train-warmup-steps 0 \
--checkpoint-steps ${CHECKPOINT_STEPS} \
--lr 1e-5 --seq-length 2048 --batch-size 32 --micro-batch-size 1 --gradient-accumulate-step 1 \
--lr 1e-5 --seq-length 2048 --batch-size 16 --micro-batch-size 1 --gradient-accumulate-step 4 \
--dist-url tcp://127.0.0.1:7033 \
--num-layers 8 --embedding-dim 4096 \
--world-size 8 --pipeline-group-size 4 --data-group-size 2 \
--num-layers 4 --embedding-dim 4096 \
--world-size 8 --pipeline-group-size 8 --data-group-size 1 \
--job-id 0 --net-interface ${netif} \
--fp16 \
--dp-backend nccl \
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