mistral_instruct_generation_st_geometry

This model is a fine-tuned version of sid321axn/Mistral-7B-text-to-sql-finetuned on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.2155

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: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 0.03
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.2741	4.0	20	0.1555
0.0834	8.0	40	0.1331
0.0236	12.0	60	0.1771
0.0098	16.0	80	0.2101
0.0063	20.0	100	0.2155

Framework versions

• PEFT 0.11.1
• Transformers 4.41.0
• Pytorch 2.2.2+cu121
• Datasets 2.15.0
• Tokenizers 0.19.1