metadata
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chat-prompts
results: []
chat-prompts
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: 4.8844
- Accuracy: 0.1647
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 | 22 | 5.1285 | 0.0059 |
| No log | 2.0 | 44 | 5.1238 | 0.0118 |
| No log | 3.0 | 66 | 5.1159 | 0.0118 |
| No log | 4.0 | 88 | 5.0894 | 0.0118 |
| No log | 5.0 | 110 | 5.0602 | 0.0176 |
| No log | 6.0 | 132 | 5.0048 | 0.0294 |
| No log | 7.0 | 154 | 4.9572 | 0.0706 |
| No log | 8.0 | 176 | 4.9201 | 0.0941 |
| No log | 9.0 | 198 | 4.8930 | 0.1294 |
| No log | 10.0 | 220 | 4.8844 | 0.1647 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0