---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: lc_full_packing
  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_full_packing

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6843

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.658         | 1.0   | 80   | 1.6224          |
| 1.5504        | 2.0   | 160  | 1.5658          |
| 1.5401        | 3.0   | 240  | 1.5452          |
| 1.5012        | 4.0   | 320  | 1.5356          |
| 1.5873        | 5.0   | 400  | 1.5318          |
| 1.4235        | 6.0   | 480  | 1.5295          |
| 1.4938        | 7.0   | 560  | 1.5312          |
| 1.4809        | 8.0   | 640  | 1.5340          |
| 1.3717        | 9.0   | 720  | 1.5361          |
| 1.5824        | 10.0  | 800  | 1.5430          |
| 1.4478        | 11.0  | 880  | 1.5456          |
| 1.4124        | 12.0  | 960  | 1.5535          |
| 1.3804        | 13.0  | 1040 | 1.5635          |
| 1.3416        | 14.0  | 1120 | 1.5694          |
| 1.3678        | 15.0  | 1200 | 1.5820          |
| 1.3439        | 16.0  | 1280 | 1.5922          |
| 1.2532        | 17.0  | 1360 | 1.6031          |
| 1.2628        | 18.0  | 1440 | 1.5963          |
| 1.4167        | 19.0  | 1520 | 1.6095          |
| 1.2727        | 20.0  | 1600 | 1.6200          |
| 1.3244        | 21.0  | 1680 | 1.6197          |
| 1.2597        | 22.0  | 1760 | 1.6325          |
| 1.2578        | 23.0  | 1840 | 1.6415          |
| 1.3411        | 24.0  | 1920 | 1.6453          |
| 1.2795        | 25.0  | 2000 | 1.6495          |
| 1.2928        | 26.0  | 2080 | 1.6509          |
| 1.2235        | 27.0  | 2160 | 1.6586          |
| 1.2335        | 28.0  | 2240 | 1.6604          |
| 1.1769        | 29.0  | 2320 | 1.6701          |
| 1.2284        | 30.0  | 2400 | 1.6681          |
| 1.2416        | 31.0  | 2480 | 1.6704          |
| 1.3158        | 32.0  | 2560 | 1.6737          |
| 1.2734        | 33.0  | 2640 | 1.6806          |
| 1.2803        | 34.0  | 2720 | 1.6815          |
| 1.1976        | 35.0  | 2800 | 1.6803          |
| 1.2457        | 36.0  | 2880 | 1.6801          |
| 1.2039        | 37.0  | 2960 | 1.6831          |
| 1.1931        | 38.0  | 3040 | 1.6824          |
| 1.2337        | 39.0  | 3120 | 1.6841          |
| 1.2167        | 40.0  | 3200 | 1.6833          |
| 1.1514        | 41.0  | 3280 | 1.6847          |
| 1.2817        | 42.0  | 3360 | 1.6841          |
| 1.1658        | 43.0  | 3440 | 1.6837          |
| 1.2635        | 44.0  | 3520 | 1.6841          |
| 1.0984        | 45.0  | 3600 | 1.6842          |
| 1.2229        | 46.0  | 3680 | 1.6843          |
| 1.26          | 47.0  | 3760 | 1.6840          |
| 1.1621        | 48.0  | 3840 | 1.6844          |
| 1.2998        | 49.0  | 3920 | 1.6848          |
| 1.2054        | 50.0  | 4000 | 1.6843          |


### Framework versions

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