This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EunsuKim/GSM8K and the EunsuKim/MATH datasets. It achieves the following results on the evaluation set:

Loss: 0.3117

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.0402	1.0	5	0.7510
0.691	2.0	10	0.5701
0.5239	3.0	15	0.4264
0.3917	4.0	20	0.3359
0.3221	5.0	25	0.3117

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

interview-eval/zephyr-7b-math-case-6-ep5

zephyr-7b-math-case-6-ep5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

interview-eval/
zephyr-7b-math-case-6-ep5