This model was trained from scratch on the /gpfs/scratch/ehpc524/ot/hf_hub/datasets/open-thoughts_open_thoughts3-1.2_m_30000_samples/default/0.0.0/f679a5c592c8dffb dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0

Training results

Framework versions

Transformers 4.55.0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.21.4

open-sci/sft__ot30k_SmolLM2-1.7B-Instruct-16k

sft__f679a5c592c8dffb__SmolLM2-1-7B-Instruc__fa2-smollm2-steps__SmolLM2-1.7B-Instruc

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

open-sci/
sft__ot30k_SmolLM2-1.7B-Instruct-16k

sftf679a5c592c8dffbSmolLM2-1-7B-Instrucfa2-smollm2-stepsSmolLM2-1.7B-Instruc