---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-analysis-model-team-28
  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. -->

# finetuning-sentiment-analysis-model-team-28

This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6973
- Accuracy: 0.9114
- F1: 0.9427

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.021         | 1.0   | 175  | 0.5527          | 0.8986   | 0.9354 |
| 0.0123        | 2.0   | 350  | 0.5993          | 0.9029   | 0.9355 |
| 0.0002        | 3.0   | 525  | 0.7007          | 0.9029   | 0.9382 |
| 0.0313        | 4.0   | 700  | 0.6765          | 0.9086   | 0.9407 |
| 0.023         | 5.0   | 875  | 0.6983          | 0.9086   | 0.9405 |
| 0.0057        | 6.0   | 1050 | 0.6973          | 0.9114   | 0.9427 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2