---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: Sentiment-Analysis-Model
  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. -->

# Sentiment-Analysis-Model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6064
- F1 Score: 0.7343

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7496        | 0.5   | 500  | 0.7056          | 0.6853   |
| 0.6707        | 1.0   | 1000 | 0.6539          | 0.7240   |
| 0.5505        | 1.5   | 1500 | 0.6562          | 0.7459   |
| 0.5418        | 2.0   | 2000 | 0.6064          | 0.7343   |
| 0.3717        | 2.5   | 2500 | 0.9214          | 0.7443   |
| 0.3713        | 3.0   | 3000 | 0.8631          | 0.7397   |
| 0.2445        | 3.5   | 3500 | 1.0991          | 0.7386   |
| 0.2438        | 4.0   | 4000 | 1.1678          | 0.7402   |
| 0.1594        | 4.5   | 4500 | 1.3197          | 0.7314   |
| 0.1554        | 5.0   | 5000 | 1.3487          | 0.7343   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3