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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: mistral-journal-finetune-aipi
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. -->
# mistral-journal-finetune-aipi
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7849
## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.3541 | 0.6757 | 25 | 1.4800 |
| 0.8644 | 1.3514 | 50 | 1.4804 |
| 0.8449 | 2.0270 | 75 | 1.5426 |
| 0.5501 | 2.7027 | 100 | 1.6733 |
| 0.2691 | 3.3784 | 125 | 1.8077 |
| 0.2187 | 4.0541 | 150 | 1.9603 |
| 0.1408 | 4.7297 | 175 | 2.0132 |
| 0.0892 | 5.4054 | 200 | 2.2048 |
| 0.0891 | 6.0811 | 225 | 2.2487 |
| 0.0633 | 6.7568 | 250 | 2.2303 |
| 0.0516 | 7.4324 | 275 | 2.2637 |
| 0.0479 | 8.1081 | 300 | 2.2366 |
| 0.0486 | 8.7838 | 325 | 2.3266 |
| 0.0435 | 9.4595 | 350 | 2.5567 |
| 0.0389 | 10.1351 | 375 | 2.6020 |
| 0.04 | 10.8108 | 400 | 2.7252 |
| 0.0341 | 11.4865 | 425 | 2.6801 |
| 0.0357 | 12.1622 | 450 | 2.7342 |
| 0.0363 | 12.8378 | 475 | 2.7706 |
| 0.0342 | 13.5135 | 500 | 2.7849 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0 |