This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the yangzhao02/ListUltraFeedback dataset. It achieves the following results on the evaluation set:

Loss: -0.9909
Logps: -445.2650
Logits: -2.4577
Rank Correct Batch: 37.5935
Rank Pair Batch: 56.0
Rank Accuracy Batch: 0.6713
Ndcg: 0.9904

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: 5e-07
train_batch_size: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Logps	Logits	Rank Correct Batch	Rank Pair Batch	Rank Accuracy Batch	Ndcg
-0.989	0.2672	125	-0.9888	-396.6688	-2.0781	35.8049	56.0	0.6394	0.9883
-0.9909	0.5344	250	-0.9903	-428.8559	-2.3131	37.0813	56.0	0.6622	0.9899
-0.991	0.8016	375	-0.9908	-446.6955	-2.4474	37.4553	56.0	0.6688	0.9901

Framework versions

Transformers 4.45.1
Pytorch 2.6.0+cu126
Datasets 2.19.1
Tokenizers 0.20.3

yangzhao02/llama3-8b-neural_ndcg-beta0.04-tau1.0

llama3-8b-neural_ndcg-beta0.04-tau1.0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yangzhao02/
llama3-8b-neural_ndcg-beta0.04-tau1.0