clasificador-tweets-gaia
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: 0.1013
- Accuracy: 0.9846
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 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 363 | 0.1116 | 0.9769 |
| 0.1511 | 2.0 | 726 | 0.1271 | 0.9808 |
| 0.02 | 3.0 | 1089 | 0.0638 | 0.9897 |
| 0.02 | 4.0 | 1452 | 0.1166 | 0.9833 |
| 0.007 | 5.0 | 1815 | 0.1013 | 0.9846 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 6
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for CarmenCL/clasificador-tweets-gaia
Base model
mrm8488/electricidad-base-discriminator