Mistral-7B-qt-earlystop-01

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.1438

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• lr_scheduler_warmup_steps: 15
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.4181	0.3980	10	0.1646
0.1587	0.7960	20	0.1432
0.1313	1.1940	30	0.1368
0.1112	1.5920	40	0.1323
0.1028	1.9900	50	0.1326
0.0707	2.3881	60	0.1440
0.0693	2.7861	70	0.1438

Framework versions

• PEFT 0.12.0
• Transformers 4.43.4
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1