Model: Raghav-Singhal/pretrain-normal-smollm-1p7b-100B-20n-2048sl-960gbsz-sft-tulu3sft Source: Original Platform
library_name, pipeline_tag, tags
| library_name | pipeline_tag | tags | ||||
|---|---|---|---|---|---|---|
| transformers | text-generation |
|
pretrain-normal-smollm-1p7b-100B-20n-2048sl-960gbsz-sft-tulu3sft
Supervised fine-tuned Hugging Face checkpoint from the Model Raising post-training run on allenai/tulu-3-sft-mixture.
Details
- Base model:
pretrain-normal-smollm-1p7b-100B-20n-2048sl-960gbsz - Architecture:
LlamaForCausalLM - Precision on disk:
bfloat16 - Tokenizer:
HuggingFaceTB/SmolLM2-1.7B-Instruct - Training data:
allenai/tulu-3-sft-mixture - Sequence length:
2048 - Global batch size:
128 - Learning rate schedule: cosine decay with
lr=1e-5,warmup_ratio=0.03,min_lr_ratio=0.1
Training Summary
- Final train loss:
0.9213777665 - Train runtime:
7286.4s - Train steps:
7339
This repo contains the final saved SFT checkpoint from /posttraining/checkpoints/sft-tulu3-4n-gbs128.
Description
Model synced from source: Raghav-Singhal/pretrain-normal-smollm-1p7b-100B-20n-2048sl-960gbsz-sft-tulu3sft
Languages
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