metadata
base_model: mistralai/Mistral-7B-v0.3
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mistral_fine_tuned
results: []
mistral_fine_tuned
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7777
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: 3e-05
- train_batch_size: 8
- 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 |
|---|---|---|---|
| 3.1448 | 0.1 | 10 | 2.6930 |
| 2.5114 | 0.2 | 20 | 2.1804 |
| 1.6951 | 0.3 | 30 | 2.0022 |
| 1.7202 | 0.4 | 40 | 1.9292 |
| 1.7303 | 0.5 | 50 | 1.9083 |
| 1.4861 | 0.6 | 60 | 1.8414 |
| 1.7349 | 0.7 | 70 | 1.7941 |
| 1.6208 | 0.8 | 80 | 1.7469 |
| 1.6669 | 0.9 | 90 | 1.7685 |
| 1.5728 | 1.0 | 100 | 1.7777 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1