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---
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
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