---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- generated_from_trainer
model-index:
- name: final_mistral_sequence_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# final_mistral_sequence_classification

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: 0.2509
- Pearson: 0.9731

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 199  | 0.1815          | 0.9547  |
| No log        | 2.0   | 398  | 0.1660          | 0.9673  |
| 0.4213        | 3.0   | 597  | 0.2031          | 0.9683  |
| 0.4213        | 4.0   | 796  | 0.2689          | 0.9679  |
| 0.4213        | 5.0   | 995  | 0.2509          | 0.9731  |


### Framework versions

- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.2.0
- Tokenizers 0.20.3