metadata
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: electricidad-small-finetuned-amazon-review-classification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
args: es
metrics:
- name: Accuracy
type: accuracy
value: 0.5882
electricidad-small-finetuned-amazon-review-classification
This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.9531
- Accuracy: 0.5882
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0282 | 1.0 | 6250 | 1.0233 | 0.5478 |
| 0.9721 | 2.0 | 12500 | 1.0013 | 0.5592 |
| 0.9566 | 3.0 | 18750 | 0.9838 | 0.5638 |
| 0.9228 | 4.0 | 25000 | 0.9878 | 0.5586 |
| 0.9049 | 5.0 | 31250 | 0.9862 | 0.5648 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6