---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trained_dilibert_sentiment_analysis
  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. -->

# trained_dilibert_sentiment_analysis

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: 0.3948
- Accuracy: 0.906
- Confusion Matrix: [[174, 46], [48, 732]]

## 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Confusion Matrix       |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------------:|
| No log        | 1.0   | 188  | 0.2507          | 0.905    | [[168, 52], [43, 737]] |
| No log        | 2.0   | 376  | 0.2797          | 0.904    | [[172, 48], [48, 732]] |
| 0.2241        | 3.0   | 564  | 0.3635          | 0.906    | [[154, 66], [28, 752]] |
| 0.2241        | 4.0   | 752  | 0.3798          | 0.908    | [[171, 49], [43, 737]] |
| 0.2241        | 5.0   | 940  | 0.3948          | 0.906    | [[174, 46], [48, 732]] |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1