metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: comida_no_comida_text_classifier
results: []
comida_no_comida_text_classifier
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0823
- Accuracy: 0.9903
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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 |
|---|---|---|---|---|
| 0.5879 | 1.0 | 26 | 0.1729 | 0.9420 |
| 0.1047 | 2.0 | 52 | 0.1249 | 0.9758 |
| 0.042 | 3.0 | 78 | 0.0938 | 0.9807 |
| 0.0022 | 4.0 | 104 | 0.0756 | 0.9903 |
| 0.0086 | 5.0 | 130 | 0.0767 | 0.9903 |
| 0.0005 | 6.0 | 156 | 0.0789 | 0.9903 |
| 0.0004 | 7.0 | 182 | 0.0804 | 0.9903 |
| 0.0003 | 8.0 | 208 | 0.0815 | 0.9903 |
| 0.0003 | 9.0 | 234 | 0.0821 | 0.9903 |
| 0.0003 | 10.0 | 260 | 0.0823 | 0.9903 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0