Mists-7B-v01-simpleQA

This model is a fine-tuned version of HachiML/Mists-7B-v01-simple-projector-trained on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0972

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: 2e-05
• train_batch_size: 128
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1811	0.0888	50	5.1410
1.2662	0.1776	100	4.0209
0.5676	0.2664	150	3.6247
0.6122	0.3552	200	2.5723
0.3855	0.4440	250	1.8618
0.5471	0.5329	300	1.5969
0.5238	0.6217	350	0.9045
0.3799	0.7105	400	0.5475
0.2406	0.7993	450	0.1614
0.1381	0.8881	500	0.1055
0.0992	0.9769	550	0.0972

Framework versions

• Transformers 4.42.3
• Pytorch 2.0.1
• Datasets 2.20.0
• Tokenizers 0.19.1