---
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_all
  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_all

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: 1.4816

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3131        | 1.0   | 919  | 1.5000          |
| 1.5413        | 2.0   | 1838 | 1.4873          |
| 1.3715        | 3.0   | 2757 | 1.4834          |
| 1.5193        | 4.0   | 3676 | 1.4822          |
| 1.3544        | 5.0   | 4595 | 1.4814          |
| 1.3155        | 6.0   | 5514 | 1.4815          |
| 1.2591        | 7.0   | 6433 | 1.4816          |
| 1.4263        | 8.0   | 7352 | 1.4815          |
| 1.4298        | 9.0   | 8271 | 1.4817          |
| 1.4252        | 10.0  | 9190 | 1.4816          |


### Framework versions

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