---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- generated_from_trainer
model-index:
- name: mistral_sequence_classification_0.001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_sequence_classification_0.001

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: 1.2964
- Pearson: 0.3398

## 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: 0.001
- 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   | 206  | 3.4169          | 0.3066  |
| No log        | 2.0   | 412  | 2.2890          | 0.2229  |
| 2.9323        | 3.0   | 618  | 1.6690          | 0.3019  |
| 2.9323        | 4.0   | 824  | 1.4150          | 0.3351  |
| 1.6676        | 5.0   | 1030 | 1.2964          | 0.3398  |


### 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