---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index:
- name: finetuned_mistral_on_ads
  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. -->

# finetuned_mistral_on_ads

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5249

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.7417        | 0.0444 | 2    | 3.6685          |
| 3.6314        | 0.0889 | 4    | 3.2304          |
| 3.0686        | 0.1333 | 6    | 2.8771          |
| 2.5057        | 0.1778 | 8    | 2.7170          |
| 2.5453        | 0.2222 | 10   | 2.5886          |
| 2.5759        | 0.2667 | 12   | 2.4625          |
| 2.4252        | 0.3111 | 14   | 2.3477          |
| 2.4227        | 0.3556 | 16   | 2.2455          |
| 1.987         | 0.4    | 18   | 2.1370          |
| 2.0229        | 0.4444 | 20   | 2.0484          |
| 2.0755        | 0.4889 | 22   | 1.9746          |
| 1.9004        | 0.5333 | 24   | 1.9032          |
| 1.9381        | 0.5778 | 26   | 1.8405          |
| 1.7879        | 0.6222 | 28   | 1.7911          |
| 1.7544        | 0.6667 | 30   | 1.7584          |
| 1.7485        | 0.7111 | 32   | 1.7290          |
| 1.6927        | 0.7556 | 34   | 1.7030          |
| 1.8931        | 0.8    | 36   | 1.6825          |
| 1.5624        | 0.8444 | 38   | 1.6656          |
| 1.7061        | 0.8889 | 40   | 1.6528          |
| 1.7288        | 0.9333 | 42   | 1.6426          |
| 1.7839        | 0.9778 | 44   | 1.6347          |
| 1.5954        | 1.0222 | 46   | 1.6270          |
| 1.4288        | 1.0667 | 48   | 1.6177          |
| 1.5201        | 1.1111 | 50   | 1.6094          |
| 1.5281        | 1.1556 | 52   | 1.6037          |
| 1.4132        | 1.2    | 54   | 1.5998          |
| 1.4271        | 1.2444 | 56   | 1.5976          |
| 1.4778        | 1.2889 | 58   | 1.5952          |
| 1.5138        | 1.3333 | 60   | 1.5921          |
| 1.4539        | 1.3778 | 62   | 1.5875          |
| 1.4293        | 1.4222 | 64   | 1.5823          |
| 1.3673        | 1.4667 | 66   | 1.5773          |
| 1.5272        | 1.5111 | 68   | 1.5734          |
| 1.506         | 1.5556 | 70   | 1.5701          |
| 1.2929        | 1.6    | 72   | 1.5669          |
| 1.387         | 1.6444 | 74   | 1.5637          |
| 1.3375        | 1.6889 | 76   | 1.5609          |
| 1.4666        | 1.7333 | 78   | 1.5586          |
| 1.2295        | 1.7778 | 80   | 1.5553          |
| 1.5195        | 1.8222 | 82   | 1.5521          |
| 1.5116        | 1.8667 | 84   | 1.5488          |
| 1.2947        | 1.9111 | 86   | 1.5449          |
| 1.4651        | 1.9556 | 88   | 1.5399          |
| 1.5171        | 2.0    | 90   | 1.5351          |
| 1.1823        | 2.0444 | 92   | 1.5312          |
| 1.3729        | 2.0889 | 94   | 1.5286          |
| 1.2607        | 2.1333 | 96   | 1.5256          |
| 1.2048        | 2.1778 | 98   | 1.5237          |
| 1.2862        | 2.2222 | 100  | 1.5229          |
| 1.2584        | 2.2667 | 102  | 1.5224          |
| 1.2285        | 2.3111 | 104  | 1.5223          |
| 1.2794        | 2.3556 | 106  | 1.5222          |
| 1.2196        | 2.4    | 108  | 1.5227          |
| 1.2526        | 2.4444 | 110  | 1.5232          |
| 1.2876        | 2.4889 | 112  | 1.5237          |
| 1.1812        | 2.5333 | 114  | 1.5247          |
| 1.3622        | 2.5778 | 116  | 1.5255          |
| 1.229         | 2.6222 | 118  | 1.5261          |
| 1.2796        | 2.6667 | 120  | 1.5262          |
| 1.2059        | 2.7111 | 122  | 1.5258          |
| 1.3327        | 2.7556 | 124  | 1.5257          |
| 1.254         | 2.8    | 126  | 1.5257          |
| 1.2183        | 2.8444 | 128  | 1.5256          |
| 1.1979        | 2.8889 | 130  | 1.5254          |
| 1.2558        | 2.9333 | 132  | 1.5251          |
| 1.1405        | 2.9778 | 134  | 1.5249          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1