metadata
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-tweets
results: []
clasificador-tweets
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0594
- Accuracy: 0.6596
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 | 23 | 1.7696 | 0.3404 |
| No log | 2.0 | 46 | 1.5696 | 0.5532 |
| No log | 3.0 | 69 | 1.3208 | 0.5106 |
| No log | 4.0 | 92 | 1.2033 | 0.6170 |
| No log | 5.0 | 115 | 1.1311 | 0.6383 |
| No log | 6.0 | 138 | 1.0723 | 0.6383 |
| No log | 7.0 | 161 | 1.0911 | 0.6596 |
| No log | 8.0 | 184 | 1.0427 | 0.6809 |
| No log | 9.0 | 207 | 1.0722 | 0.6596 |
| No log | 10.0 | 230 | 1.0594 | 0.6596 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0