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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 800 examples from OpenOrca.
It achieves the following results on the evaluation set:
- Loss: 1.3820
## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6764 | 0.25 | 50 | 1.5037 |
| 1.3936 | 0.5 | 100 | 1.4108 |
| 1.4016 | 0.75 | 150 | 1.3547 |
| 1.3152 | 1.0 | 200 | 1.3373 |
| 1.0919 | 1.25 | 250 | 1.3368 |
| 1.1336 | 1.5 | 300 | 1.3290 |
| 1.0541 | 1.75 | 350 | 1.3222 |
| 1.0844 | 2.0 | 400 | 1.3174 |
| 0.8657 | 2.25 | 450 | 1.3790 |
| 0.8606 | 2.5 | 500 | 1.3779 |
| 0.8483 | 2.75 | 550 | 1.3824 |
| 0.8258 | 3.0 | 600 | 1.3820 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |