---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- scitldr
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: uplimit-project-3-phi-1.5
  results: []
---

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

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the scitldr dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1059

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0732        | 0.1   | 200  | 2.1863          |
| 2.1324        | 0.2   | 400  | 2.1925          |
| 2.103         | 0.3   | 600  | 2.1876          |
| 2.0766        | 0.4   | 800  | 2.1737          |
| 2.0825        | 0.5   | 1000 | 2.1555          |
| 2.0731        | 0.6   | 1200 | 2.1465          |
| 2.0819        | 0.7   | 1400 | 2.1355          |
| 1.9802        | 0.8   | 1600 | 2.1223          |
| 2.0466        | 0.9   | 1800 | 2.1059          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2