ledat1205/mistral-instruct-v2-2k

transformers

This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.3956

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: 0.0002
• train_batch_size: 48
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 74
• training_steps: 743

Training results

Training Loss	Epoch	Step	Validation Loss
0.2297	1.8	74	0.4019
0.1551	3.61	148	0.4087
0.1306	5.41	222	0.4018
0.0894	7.22	296	0.3998
0.0799	9.02	370	0.3972
0.0782	10.83	444	0.3965
0.0748	12.63	518	0.3967
0.0617	14.44	592	0.3964
0.0666	16.24	666	0.3956
0.0753	18.05	740	0.3956

Framework versions

• Transformers 4.39.2
• Pytorch 2.1.0+cu118
• Datasets 2.16.0
• Tokenizers 0.15.2