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: 0.4842

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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 128
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.1139	1.0	1	1.1133
1.1139	2.0	2	1.2947
1.1139	3.0	3	1.0840
1.1139	4.0	4	0.8533
1.0874	5.0	5	0.7534
1.0874	6.0	6	0.6295
1.0874	7.0	7	0.5679
1.0874	8.0	8	0.5225
1.0874	9.0	9	0.4936
0.5928	10.0	10	0.4842

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

RichardErkhov/scottsuk0306_-_zephyr-7b-stem-train-8bits

Original model description:

zephyr-7b-stem-train

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
scottsuk0306_-_zephyr-7b-stem-train-8bits