---
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-20k-withnoclass
  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-20k-withnoclass

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: 0.9941

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8094        | 0.04  | 100  | 1.4332          |
| 1.274         | 0.08  | 200  | 1.2291          |
| 1.1812        | 0.12  | 300  | 1.1865          |
| 1.1474        | 0.16  | 400  | 1.1542          |
| 1.1421        | 0.2   | 500  | 1.1370          |
| 1.101         | 0.24  | 600  | 1.1154          |
| 1.1111        | 0.29  | 700  | 1.0999          |
| 1.0778        | 0.33  | 800  | 1.0841          |
| 1.0421        | 0.37  | 900  | 1.0784          |
| 1.0468        | 0.41  | 1000 | 1.0644          |
| 1.0389        | 0.45  | 1100 | 1.0540          |
| 1.0023        | 0.49  | 1200 | 1.0434          |
| 1.0396        | 0.53  | 1300 | 1.0342          |
| 0.9991        | 0.57  | 1400 | 1.0260          |
| 1.0304        | 0.61  | 1500 | 1.0238          |
| 1.0033        | 0.65  | 1600 | 1.0159          |
| 1.0065        | 0.69  | 1700 | 1.0109          |
| 0.9587        | 0.73  | 1800 | 1.0072          |
| 0.9725        | 0.78  | 1900 | 1.0025          |
| 0.9738        | 0.82  | 2000 | 0.9997          |
| 0.9816        | 0.86  | 2100 | 0.9972          |
| 0.9858        | 0.9   | 2200 | 0.9956          |
| 0.9477        | 0.94  | 2300 | 0.9946          |
| 0.9834        | 0.98  | 2400 | 0.9941          |
| 0.943         | 1.02  | 2500 | 0.9941          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0