---
library_name: transformers
license: apache-2.0
base_model: dnzblgn/Sentiment-Analysis-Customer-Reviews
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-reviews-imdb-withsentimentanalysis-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. -->

# clasificador-reviews-imdb-withsentimentanalysis-model

This model is a fine-tuned version of [dnzblgn/Sentiment-Analysis-Customer-Reviews](https://huggingface.co/dnzblgn/Sentiment-Analysis-Customer-Reviews) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8423
- Accuracy: 0.81

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 25   | 0.5496          | 0.77     |
| No log        | 2.0   | 50   | 1.1318          | 0.79     |
| No log        | 3.0   | 75   | 1.4240          | 0.795    |
| No log        | 4.0   | 100  | 1.5637          | 0.785    |
| No log        | 5.0   | 125  | 1.6217          | 0.815    |
| No log        | 6.0   | 150  | 1.7791          | 0.81     |
| No log        | 7.0   | 175  | 1.8106          | 0.81     |
| No log        | 8.0   | 200  | 1.8260          | 0.805    |
| No log        | 9.0   | 225  | 1.8380          | 0.81     |
| No log        | 10.0  | 250  | 1.8423          | 0.81     |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0