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license: bigscience-openrail-m |
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datasets: |
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- iamplus/Instruction_Tuning |
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Instruction Tuned GPT-NeoXT-20B model on Instruction Tuning dataset as listed below (~560k data) using ***Colossal AI*** |
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**Base Model:** togethercomputer/GPT-NeoXT-Chat-Base-20B (GPT-NeoXT-Chat-Base-20B-v0.16 - fine-tuned on feedback data) |
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**Training Details :** |
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* Epochs: 5 |
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* Batch Size : 16 instantaneous per device x 1 gradient accumulation steps x 8 gpus = 128 |
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* Max Length : 1024 |
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* Weight Decay : 0 |
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* Learning Rate : 2e-5 |
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* Learning Rate Scheduler Type : Cosine |
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* Number of warmup steps : 240 |
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* Machine : 8xA100 80GB |
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**Dataset Details :** |
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Dataset : iamplus/Instruction_Tuning |
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Files : |
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* stanford_alpaca_it_v2.csv |
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* ColossalChat.csv |
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* unified_chip2.csv |
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* iamai_summarization_v1.csv |
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* iamai_v1.csv |
