---
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: 1.0305
- F1 Micro: 0.7988
- F1 Macro: 0.7745
- F1 Weighted: 0.8091

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 1.7847        | 0.0064 | 25   | 1.4983          | 0.7827   | 0.7547   | 0.7929      |
| 1.3333        | 0.0127 | 50   | 1.2986          | 0.7926   | 0.7660   | 0.8031      |
| 1.2721        | 0.0191 | 75   | 1.2255          | 0.7755   | 0.7520   | 0.7862      |
| 1.127         | 0.0255 | 100  | 1.1722          | 0.7945   | 0.7694   | 0.8053      |
| 1.1108        | 0.0318 | 125  | 1.1561          | 0.7922   | 0.7556   | 0.7971      |
| 1.0969        | 0.0382 | 150  | 1.1181          | 0.7875   | 0.7581   | 0.7955      |
| 1.0714        | 0.0446 | 175  | 1.1001          | 0.7884   | 0.7658   | 0.7993      |
| 1.0219        | 0.0510 | 200  | 1.0758          | 0.8000   | 0.7727   | 0.8091      |
| 1.0979        | 0.0573 | 225  | 1.0671          | 0.7973   | 0.7656   | 0.8040      |
| 1.0846        | 0.0637 | 250  | 1.0632          | 0.7866   | 0.7582   | 0.7944      |
| 0.9977        | 0.0701 | 275  | 1.0590          | 0.7934   | 0.7600   | 0.7991      |
| 1.1262        | 0.0764 | 300  | 1.0404          | 0.7984   | 0.7699   | 0.8066      |
| 1.0066        | 0.0828 | 325  | 1.0396          | 0.7981   | 0.7681   | 0.8053      |
| 1.0534        | 0.0892 | 350  | 1.0360          | 0.8005   | 0.7768   | 0.8113      |
| 1.0302        | 0.0955 | 375  | 1.0320          | 0.7993   | 0.7754   | 0.8099      |
| 1.0965        | 0.1019 | 400  | 1.0305          | 0.7988   | 0.7745   | 0.8091      |


### Framework versions

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