This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the scottsuk0306/DepthQA dataset. It achieves the following results on the evaluation set:

Loss: 0.2113

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: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.0974	1.0	1	1.1027
1.0974	2.0	2	1.2132
1.0974	3.0	3	0.9654
1.0974	4.0	4	0.6956
0.9948	5.0	5	0.5648
0.9948	6.0	6	0.3997
0.9948	7.0	7	0.3115
0.9948	8.0	8	0.2529
0.9948	9.0	9	0.2212
0.3483	10.0	10	0.2113

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

interview-eval/zephyr-7b-stem-case-2

zephyr-7b-stem-case-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

interview-eval/
zephyr-7b-stem-case-2