peft safetensors trl sft generated_from_trainer dataset:generator base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-7B-v0.1-adaptor-qlora-prompt_prediction-stf-packing
  results: []
---

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# mistral-7B-v0.1-adaptor-qlora-prompt_prediction-stf-packing

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2910

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4894        | 0.1   | 28   | 1.4172          |
| 1.3072        | 0.2   | 56   | 1.3256          |
| 1.3538        | 0.3   | 84   | 1.3117          |
| 1.3487        | 0.41  | 112  | 1.3040          |
| 1.3897        | 0.51  | 140  | 1.3000          |
| 1.3847        | 0.61  | 168  | 1.2960          |
| 1.3974        | 0.71  | 196  | 1.2935          |
| 1.2481        | 0.81  | 224  | 1.2918          |
| 1.3313        | 0.91  | 252  | 1.2910          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.1
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1