---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: filipealmeida/Mistral-7B-Instruct-v0.1-sharded
model-index:
- name: mistral7b-finetune-10k
  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. -->

# mistral7b-finetune-10k

This model is a fine-tuned version of [filipealmeida/Mistral-7B-Instruct-v0.1-sharded](https://huggingface.co/filipealmeida/Mistral-7B-Instruct-v0.1-sharded) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0138

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8342        | 0.08  | 100  | 1.4509          |
| 1.3118        | 0.16  | 200  | 1.2525          |
| 1.2008        | 0.24  | 300  | 1.2086          |
| 1.1544        | 0.33  | 400  | 1.1871          |
| 1.1421        | 0.41  | 500  | 1.1651          |
| 1.1222        | 0.49  | 600  | 1.1497          |
| 1.1234        | 0.57  | 700  | 1.1232          |
| 1.0913        | 0.65  | 800  | 1.1089          |
| 1.0872        | 0.73  | 900  | 1.0906          |
| 1.0396        | 0.82  | 1000 | 1.0784          |
| 1.0634        | 0.9   | 1100 | 1.0701          |
| 1.007         | 0.98  | 1200 | 1.0616          |
| 0.9981        | 1.06  | 1300 | 1.0545          |
| 0.9518        | 1.14  | 1400 | 1.0453          |
| 0.939         | 1.22  | 1500 | 1.0386          |
| 0.9791        | 1.31  | 1600 | 1.0356          |
| 0.977         | 1.39  | 1700 | 1.0302          |
| 0.9287        | 1.47  | 1800 | 1.0233          |
| 0.9393        | 1.55  | 1900 | 1.0209          |
| 0.915         | 1.63  | 2000 | 1.0184          |
| 0.95          | 1.71  | 2100 | 1.0155          |
| 0.9542        | 1.8   | 2200 | 1.0150          |
| 0.9272        | 1.88  | 2300 | 1.0146          |
| 0.9381        | 1.96  | 2400 | 1.0142          |
| 0.9358        | 2.04  | 2500 | 1.0138          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0