peft safetensors mistral trl sft generated_from_trainer dataset:samantha-data base_model:mistralai/Mistral-7B-Instruct-v0.1 license:apache-2.0 8-bit bitsandbytes region:us
---
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: []
---

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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: 1.2177

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8256        | 0.01  | 10   | 1.6091          |
| 1.1803        | 0.02  | 20   | 1.3865          |
| 1.0851        | 0.02  | 30   | 1.3218          |
| 1.061         | 0.03  | 40   | 1.2639          |
| 0.9776        | 0.04  | 50   | 1.2600          |
| 1.0178        | 0.05  | 60   | 1.2484          |
| 0.9253        | 0.05  | 70   | 1.2435          |
| 1.0814        | 0.06  | 80   | 1.2363          |
| 0.9787        | 0.07  | 90   | 1.2307          |
| 1.0406        | 0.08  | 100  | 1.2177          |


### Framework versions

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