metadata
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: language-detection
results: []
language-detection
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0772
- Accuracy: 0.4477
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 388 | 1.3615 | 0.4013 |
| 1.5269 | 2.0 | 776 | 1.3351 | 0.4258 |
| 1.0324 | 3.0 | 1164 | 1.4369 | 0.4426 |
| 0.6865 | 4.0 | 1552 | 1.7690 | 0.4619 |
| 0.6865 | 5.0 | 1940 | 2.0772 | 0.4477 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3