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Duplicate from iamplus/gpt-neoxt-20b-v2

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+ ---
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+ license: bigscience-openrail-m
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+ datasets:
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+ - iamplus/Instruction_Tuning
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+ ---
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+ Instruction Tuned GPT-NeoXT-20B model on Stanford Alpaca-2 Instruction Tuning dataset (outputs from ChatGPT) (52k data) using ***Colossal AI***
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+
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+ **Base Model:** togethercomputer/GPT-NeoXT-Chat-Base-20B (not fine-tuned on feedback data)
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+
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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 : 30
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+ * Machine : 8xA100 80GB
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+
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+ **Dataset Details :**
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+
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+ Dataset : iamplus/Instruction_Tuning
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+
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+ Files :
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+ * stanford_alpaca_it_v2.csv
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