mistral-Automotive_Engine_parameter_FineTune

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3795

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: 2.5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0051	10	2.6289
No log	0.0102	20	1.9624
No log	0.0154	30	1.7700
No log	0.0205	40	1.5865
2.1702	0.0256	50	1.4648
2.1702	0.0307	60	1.4255
2.1702	0.0358	70	1.4026
2.1702	0.0410	80	1.3900
2.1702	0.0461	90	1.3794
1.409	0.0512	100	1.3795

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1