This model is a fine-tuned version of [saves/Yi-1.5-6B-sft-241208] on the 10.TCM-SRT, the 2.TCM-DS, the 3.TCM-DID, the 4.TCM-FT-Lite, the 5.TCM-CHGD, the 6.Med-Treat, the 7.TCM-Clin, the 8.TCMeEE, the 9.TCM-LitData, the A_problem, the B_problem, the C_problem, the D_problem, the SPD-5038-gpt4oc, the zl_2 and the zl_3 datasets.
It achieves the following results on the evaluation set:
Loss: 0.3568
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: 2.5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
