---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: lc_v7_select
  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. -->

# lc_v7_select

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: 1.3328

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4231        | 1.0   | 297  | 1.3575          |
| 1.2756        | 2.0   | 594  | 1.3408          |
| 1.2876        | 3.0   | 891  | 1.3342          |
| 1.2691        | 4.0   | 1188 | 1.3322          |
| 1.239         | 5.0   | 1485 | 1.3334          |
| 1.2492        | 6.0   | 1782 | 1.3324          |
| 1.3679        | 7.0   | 2079 | 1.3325          |
| 1.3518        | 8.0   | 2376 | 1.3329          |
| 1.2306        | 9.0   | 2673 | 1.3333          |
| 1.2744        | 10.0  | 2970 | 1.3328          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1