---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
model-index:
- name: Mistral_Sentiment_Classification_2024-04-03
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral_Sentiment_Classification_2024-04-03

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2962

## 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: 4
- 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: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4373        | 0.45  | 100  | 0.3295          |
| 0.3287        | 0.9   | 200  | 0.3143          |
| 0.3159        | 1.36  | 300  | 0.3080          |
| 0.3061        | 1.81  | 400  | 0.3027          |
| 0.3104        | 2.26  | 500  | 0.3004          |
| 0.2914        | 2.71  | 600  | 0.2972          |
| 0.2907        | 3.17  | 700  | 0.2973          |
| 0.2799        | 3.62  | 800  | 0.2951          |
| 0.265         | 4.07  | 900  | 0.2966          |
| 0.259         | 4.52  | 1000 | 0.2965          |
| 0.2723        | 4.98  | 1100 | 0.2962          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2