This model is a fine-tuned version of /tos-bjml-ai4chem/chemshare/home/shuaikeshen/project/bk/LLaMA-Factory/saves/SpectraLLM_Pretrain/ on the pubchem_pretrain, the nmrbank_pretrain, the qm9s_pretrain, the hnmr_pretrain, the ms_fragment_pos_pretrain, the ms_neg_40ev_pretrain, the ms_pos_10ev_pretrain and the ms_pos_20ev_pretrain datasets.

Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 32
gradient_accumulation_steps: 8
total_train_batch_size: 2048
total_eval_batch_size: 256
optimizer: Use adamw_torch 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: 1.0