---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: lc_v5_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_v5_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: 1.5440

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6819        | 1.0   | 666  | 1.5600          |
| 1.803         | 2.0   | 1332 | 1.5472          |
| 1.4855        | 3.0   | 1998 | 1.5450          |
| 1.4634        | 4.0   | 2664 | 1.5417          |
| 1.3477        | 5.0   | 3330 | 1.5433          |
| 1.3952        | 6.0   | 3996 | 1.5427          |
| 1.3547        | 7.0   | 4662 | 1.5435          |
| 1.7377        | 8.0   | 5328 | 1.5438          |
| 1.3231        | 9.0   | 5994 | 1.5441          |
| 1.44          | 10.0  | 6660 | 1.5440          |


### Framework versions

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