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license: bigscience-openrail-m |
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datasets: |
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- iamplus/Instruction_Tuning |
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- iamplus/Conversational_Data |
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Instruction Tuned GPT-NeoXT-20B model on Instruction Tuning dataset as listed below (~5.2M 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: 2 |
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* Batch Size : 5 instantaneous per device x 1 gradient accumulation steps x 8 gpus = 40 |
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* Block Size : 2020 |
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* Weight Decay : 0 |
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* Learning Rate : 1e-6 |
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* Learning Rate Scheduler Type : Cosine |
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* Number of warmup steps : 600 |
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* Machine : 8xA100 80GB |
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**Training Data Specifics :** |
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* Labels and Input ids are exactly the same. |
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* Block Size is 2020, Multiple instructions are clubbed together in each data. |
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* "###" is the EOS Token used in the data. |
