---
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral_Sentiment_Classification_2024-08-19
  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_2024-08-19

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: 0.1144

## 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: 1
- 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
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.1264        | 0.2048 | 500   | 0.1188          |
| 0.1096        | 0.4097 | 1000  | 0.1146          |
| 0.1289        | 0.6145 | 1500  | 0.1123          |
| 0.1089        | 0.8193 | 2000  | 0.1106          |
| 0.1218        | 1.0242 | 2500  | 0.1083          |
| 0.0987        | 1.2290 | 3000  | 0.1079          |
| 0.1074        | 1.4338 | 3500  | 0.1069          |
| 0.0906        | 1.6387 | 4000  | 0.1062          |
| 0.1094        | 1.8435 | 4500  | 0.1053          |
| 0.0951        | 2.0483 | 5000  | 0.1068          |
| 0.1           | 2.2532 | 5500  | 0.1068          |
| 0.0799        | 2.4580 | 6000  | 0.1062          |
| 0.0767        | 2.6628 | 6500  | 0.1058          |
| 0.1046        | 2.8677 | 7000  | 0.1054          |
| 0.0727        | 3.0725 | 7500  | 0.1091          |
| 0.0737        | 3.2773 | 8000  | 0.1092          |
| 0.0967        | 3.4822 | 8500  | 0.1092          |
| 0.0726        | 3.6870 | 9000  | 0.1091          |
| 0.0909        | 3.8918 | 9500  | 0.1085          |
| 0.074         | 4.0967 | 10000 | 0.1141          |
| 0.0777        | 4.3015 | 10500 | 0.1143          |
| 0.0695        | 4.5063 | 11000 | 0.1145          |
| 0.0604        | 4.7112 | 11500 | 0.1142          |
| 0.0612        | 4.9160 | 12000 | 0.1144          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1