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---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- base_model:adapter:mistralai/Mistral-7B-v0.3
- lora
- transformers
model-index:
- name: Mistral_StereoDetect_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. -->
# Mistral_StereoDetect_Model
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3143
- Pearson: 0.9660
## 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: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log | 1.0 | 190 | 0.2906 | 0.9143 |
| No log | 2.0 | 380 | 0.2797 | 0.9360 |
| 0.4128 | 3.0 | 570 | 0.2969 | 0.9513 |
| 0.4128 | 4.0 | 760 | 0.3159 | 0.9646 |
| 0.4128 | 5.0 | 950 | 0.3143 | 0.9660 |
### Framework versions
- PEFT 0.17.1
- Transformers 4.56.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 4.0.0
- Tokenizers 0.22.0 |