|
---
|
|
license: apache-2.0
|
|
library_name: peft
|
|
tags:
|
|
- generated_from_trainer
|
|
base_model: mistralai/Mistral-7B-Instruct-v0.2
|
|
model-index:
|
|
- name: Mistral-7B-Instruct-v0.2-finetune-SWE_90_10
|
|
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-7B-Instruct-v0.2-finetune-SWE_90_10 |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1233 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.4939 | 0.9995 | 1847 | 0.9488 | |
|
| 0.7585 | 1.9989 | 3694 | 0.8857 | |
|
| 0.4374 | 2.9984 | 5541 | 0.9555 | |
|
| 0.2946 | 3.9978 | 7388 | 1.0790 | |
|
| 0.2287 | 4.9973 | 9235 | 1.1233 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.40.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |