---
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_2024-05-17
  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_2024-05-17

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: 0.3003

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.4299        | 0.4587 | 100  | 0.3342          |
| 0.3351        | 0.9174 | 200  | 0.3189          |
| 0.3218        | 1.3761 | 300  | 0.3112          |
| 0.3164        | 1.8349 | 400  | 0.3067          |
| 0.3021        | 2.2936 | 500  | 0.3035          |
| 0.2892        | 2.7523 | 600  | 0.3006          |
| 0.2825        | 3.2110 | 700  | 0.3010          |
| 0.2719        | 3.6697 | 800  | 0.2994          |
| 0.2807        | 4.1284 | 900  | 0.3002          |
| 0.2622        | 4.5872 | 1000 | 0.3003          |


### Framework versions

- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1