---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: org_modelorg_model
  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. -->

# org_modelorg_model

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0772
- F1 Micro: 0.5885
- F1 Macro: 0.5884
- F1 Weighted: 0.5884

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 1.6909        | 0.0064 | 25   | 1.5440          | 0.5095   | 0.5089   | 0.5089      |
| 1.4631        | 0.0127 | 50   | 1.4130          | 0.5483   | 0.5458   | 0.5458      |
| 1.3764        | 0.0191 | 75   | 1.2988          | 0.5543   | 0.5543   | 0.5543      |
| 1.2402        | 0.0255 | 100  | 1.2464          | 0.5623   | 0.5621   | 0.5621      |
| 1.1982        | 0.0318 | 125  | 1.2415          | 0.5580   | 0.5544   | 0.5544      |
| 1.1759        | 0.0382 | 150  | 1.1822          | 0.5732   | 0.5728   | 0.5728      |
| 1.0769        | 0.0446 | 175  | 1.1590          | 0.5788   | 0.5787   | 0.5787      |
| 1.0388        | 0.0510 | 200  | 1.1416          | 0.5821   | 0.5820   | 0.5820      |
| 1.1786        | 0.0573 | 225  | 1.1273          | 0.5815   | 0.5806   | 0.5806      |
| 1.2269        | 0.0637 | 250  | 1.1233          | 0.5823   | 0.5798   | 0.5798      |
| 1.1746        | 0.0701 | 275  | 1.1105          | 0.5833   | 0.5819   | 0.5819      |
| 1.1455        | 0.0764 | 300  | 1.0927          | 0.5868   | 0.5864   | 0.5864      |
| 1.0494        | 0.0828 | 325  | 1.0905          | 0.5873   | 0.5867   | 0.5867      |
| 1.0199        | 0.0892 | 350  | 1.0853          | 0.5845   | 0.5836   | 0.5836      |
| 1.1086        | 0.0955 | 375  | 1.0789          | 0.5852   | 0.5849   | 0.5849      |
| 1.0726        | 0.1019 | 400  | 1.0772          | 0.5885   | 0.5884   | 0.5884      |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1