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

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: 1.6186

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4379        | 1.0   | 179  | 1.4131          |
| 1.4264        | 2.0   | 358  | 1.3916          |
| 1.3008        | 3.0   | 537  | 1.3836          |
| 1.3527        | 4.0   | 716  | 1.3795          |
| 1.3232        | 5.0   | 895  | 1.3847          |
| 1.123         | 6.0   | 1074 | 1.3991          |
| 1.2001        | 7.0   | 1253 | 1.3956          |
| 1.2633        | 8.0   | 1432 | 1.4122          |
| 1.246         | 9.0   | 1611 | 1.4136          |
| 1.1377        | 10.0  | 1790 | 1.4250          |
| 1.1705        | 11.0  | 1969 | 1.4381          |
| 1.1582        | 12.0  | 2148 | 1.4502          |
| 1.1204        | 13.0  | 2327 | 1.4652          |
| 1.164         | 14.0  | 2506 | 1.4837          |
| 1.1277        | 15.0  | 2685 | 1.4842          |
| 1.0011        | 16.0  | 2864 | 1.5123          |
| 1.018         | 17.0  | 3043 | 1.5116          |
| 1.0135        | 18.0  | 3222 | 1.5332          |
| 1.0115        | 19.0  | 3401 | 1.5386          |
| 0.9707        | 20.0  | 3580 | 1.5623          |
| 1.105         | 21.0  | 3759 | 1.5591          |
| 1.0399        | 22.0  | 3938 | 1.5469          |
| 1.0203        | 23.0  | 4117 | 1.5725          |
| 1.0629        | 24.0  | 4296 | 1.5643          |
| 0.9934        | 25.0  | 4475 | 1.5698          |
| 0.9231        | 26.0  | 4654 | 1.5924          |
| 0.9423        | 27.0  | 4833 | 1.5916          |
| 1.0153        | 28.0  | 5012 | 1.5976          |
| 0.9623        | 29.0  | 5191 | 1.6060          |
| 0.796         | 30.0  | 5370 | 1.6051          |
| 0.9592        | 31.0  | 5549 | 1.6067          |
| 0.9507        | 32.0  | 5728 | 1.6060          |
| 0.7748        | 33.0  | 5907 | 1.6183          |
| 1.0306        | 34.0  | 6086 | 1.6126          |
| 0.8095        | 35.0  | 6265 | 1.6120          |
| 0.8423        | 36.0  | 6444 | 1.6163          |
| 0.8873        | 37.0  | 6623 | 1.6162          |
| 0.9068        | 38.0  | 6802 | 1.6177          |
| 0.9126        | 39.0  | 6981 | 1.6182          |
| 0.948         | 40.0  | 7160 | 1.6169          |
| 0.8804        | 41.0  | 7339 | 1.6188          |
| 0.8854        | 42.0  | 7518 | 1.6185          |
| 0.8272        | 43.0  | 7697 | 1.6170          |
| 0.9812        | 44.0  | 7876 | 1.6179          |
| 0.8171        | 45.0  | 8055 | 1.6183          |
| 0.8417        | 46.0  | 8234 | 1.6177          |
| 0.9621        | 47.0  | 8413 | 1.6188          |
| 0.9239        | 48.0  | 8592 | 1.6179          |
| 0.9687        | 49.0  | 8771 | 1.6189          |
| 0.8301        | 50.0  | 8950 | 1.6186          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1