---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- samantha-data
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral_7b_samantha
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_7b_samantha

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the samantha-data dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7573

## 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: 0.0002
- 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: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7235        | 0.4   | 10   | 1.8474          |
| 1.2154        | 0.8   | 20   | 1.7551          |
| 1.1009        | 1.2   | 30   | 1.6884          |
| 0.981         | 1.6   | 40   | 1.6751          |
| 0.9463        | 2.0   | 50   | 1.6704          |
| 0.8443        | 2.4   | 60   | 1.7248          |
| 0.8128        | 2.8   | 70   | 1.7101          |
| 0.8158        | 3.2   | 80   | 1.7826          |
| 0.7087        | 3.6   | 90   | 1.7805          |
| 0.7091        | 4.0   | 100  | 1.7573          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2