---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mistral7B-fyp-project-finetune-final-v1
  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. -->

# mistral7B-fyp-project-finetune-final-v1

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: 1.7206

## 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: 8
- 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: 2
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0008        | 0.0710 | 25   | 2.0254          |
| 2.0393        | 0.1420 | 50   | 1.9910          |
| 1.98          | 0.2131 | 75   | 1.9675          |
| 1.9571        | 0.2841 | 100  | 1.9420          |
| 1.9311        | 0.3551 | 125  | 1.9205          |
| 1.8959        | 0.4261 | 150  | 1.9025          |
| 1.9593        | 0.4972 | 175  | 1.8818          |
| 1.8716        | 0.5682 | 200  | 1.8582          |
| 1.8744        | 0.6392 | 225  | 1.8391          |
| 1.821         | 0.7102 | 250  | 1.8200          |
| 1.8151        | 0.7812 | 275  | 1.8022          |
| 1.7938        | 0.8523 | 300  | 1.7878          |
| 1.7817        | 0.9233 | 325  | 1.7720          |
| 1.8036        | 0.9943 | 350  | 1.7580          |
| 1.6723        | 1.0653 | 375  | 1.7478          |
| 1.596         | 1.1364 | 400  | 1.7394          |
| 1.6096        | 1.2074 | 425  | 1.7315          |
| 1.5972        | 1.2784 | 450  | 1.7270          |
| 1.5861        | 1.3494 | 475  | 1.7239          |
| 1.6314        | 1.4205 | 500  | 1.7206          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.43.0.dev0
- Pytorch 2.2.1
- Datasets 2.20.0
- Tokenizers 0.19.1