metadata
tags:
- classification
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: clasificador-amazonproducts
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
config: es
split: validation
args: es
metrics:
- name: Accuracy
type: accuracy
value: 0.6056338028169014
clasificador-amazonproducts
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 1.0297
- Accuracy: 0.6056
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2571 | 1.0 | 658 | 1.0686 | 0.5493 |
| 1.0148 | 2.0 | 1316 | 0.9996 | 0.5915 |
| 0.8654 | 3.0 | 1974 | 1.0297 | 0.6056 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2