---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-stock-finetune
  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. -->

# mistral-stock-finetune

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6006

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.957         | 0.07  | 25   | 0.7369          |
| 0.6947        | 0.13  | 50   | 0.6830          |
| 0.68          | 0.2   | 75   | 0.6631          |
| 0.6596        | 0.26  | 100  | 0.6512          |
| 0.655         | 0.33  | 125  | 0.6424          |
| 0.6355        | 0.4   | 150  | 0.6344          |
| 0.6434        | 0.46  | 175  | 0.6297          |
| 0.6307        | 0.53  | 200  | 0.6252          |
| 0.6224        | 0.59  | 225  | 0.6215          |
| 0.6128        | 0.66  | 250  | 0.6177          |
| 0.6018        | 0.73  | 275  | 0.6148          |
| 0.62          | 0.79  | 300  | 0.6118          |
| 0.5959        | 0.86  | 325  | 0.6093          |
| 0.6046        | 0.92  | 350  | 0.6062          |
| 0.6062        | 0.99  | 375  | 0.6038          |
| 0.5769        | 1.06  | 400  | 0.6053          |
| 0.559         | 1.12  | 425  | 0.6027          |
| 0.5599        | 1.19  | 450  | 0.6021          |
| 0.5522        | 1.25  | 475  | 0.6010          |
| 0.5547        | 1.32  | 500  | 0.6006          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2