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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: results
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3856
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4616 | 0.0 | 1 | 1.4223 |
| 1.4337 | 0.0 | 2 | 1.4204 |
| 1.6083 | 0.0 | 3 | 1.4186 |
| 1.0152 | 0.0 | 4 | 1.4168 |
| 1.5549 | 0.0 | 5 | 1.4150 |
| 1.4039 | 0.0 | 6 | 1.4132 |
| 1.0972 | 0.01 | 7 | 1.4115 |
| 1.4686 | 0.01 | 8 | 1.4098 |
| 1.3683 | 0.01 | 9 | 1.4081 |
| 1.2799 | 0.01 | 10 | 1.4065 |
| 1.2553 | 0.01 | 11 | 1.4048 |
| 1.3466 | 0.01 | 12 | 1.4032 |
| 1.1299 | 0.01 | 13 | 1.4016 |
| 1.8492 | 0.01 | 14 | 1.4000 |
| 1.3812 | 0.01 | 15 | 1.3985 |
| 1.1716 | 0.01 | 16 | 1.3970 |
| 1.1015 | 0.01 | 17 | 1.3955 |
| 1.5655 | 0.01 | 18 | 1.3942 |
| 1.4379 | 0.02 | 19 | 1.3930 |
| 1.2552 | 0.02 | 20 | 1.3918 |
| 1.1698 | 0.02 | 21 | 1.3907 |
| 1.3563 | 0.02 | 22 | 1.3897 |
| 1.6058 | 0.02 | 23 | 1.3889 |
| 1.4902 | 0.02 | 24 | 1.3881 |
| 1.6846 | 0.02 | 25 | 1.3874 |
| 1.2315 | 0.02 | 26 | 1.3868 |
| 1.0901 | 0.02 | 27 | 1.3863 |
| 1.2795 | 0.02 | 28 | 1.3860 |
| 1.1802 | 0.02 | 29 | 1.3857 |
| 1.2028 | 0.02 | 30 | 1.3856 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |