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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: 1.0305
- 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 |