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---
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: []
---
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# mistral_fine_tuned
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7497
## 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: 2e-05
- train_batch_size: 15
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3433 | 0.1 | 10 | 2.8619 |
| 2.3427 | 0.2 | 20 | 2.3762 |
| 1.9334 | 0.3 | 30 | 2.0743 |
| 1.796 | 0.4 | 40 | 1.9626 |
| 1.8265 | 0.5 | 50 | 1.9076 |
| 1.7717 | 0.6 | 60 | 1.9241 |
| 1.597 | 0.7 | 70 | 1.8398 |
| 1.5922 | 0.8 | 80 | 1.8226 |
| 1.5468 | 0.9 | 90 | 1.7813 |
| 1.695 | 1.0 | 100 | 1.7497 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |