---
base_model: finiteautomata/bertweet-base-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_model_IMDB
  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. -->

# my_awesome_model_IMDB

This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6664
- Accuracy: 0.8949

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3261        | 1.0   | 782  | 0.2674          | 0.8903   |
| 0.2072        | 2.0   | 1564 | 0.3035          | 0.8820   |
| 0.1408        | 3.0   | 2346 | 0.3532          | 0.8967   |
| 0.0876        | 4.0   | 3128 | 0.4793          | 0.8922   |
| 0.0661        | 5.0   | 3910 | 0.4755          | 0.8925   |
| 0.0373        | 6.0   | 4692 | 0.5159          | 0.8937   |
| 0.034         | 7.0   | 5474 | 0.5527          | 0.8923   |
| 0.0264        | 8.0   | 6256 | 0.6391          | 0.8947   |
| 0.0179        | 9.0   | 7038 | 0.6491          | 0.8942   |
| 0.0094        | 10.0  | 7820 | 0.6664          | 0.8949   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.14.0