metadata
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mistral-Automotive_Engine_parameter_FineTune
results: []
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