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---
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 |