metadata
library_name: transformers
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: awesome-chatgpt-prompts
results: []
awesome-chatgpt-prompts
This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5547
- Accuracy: 0.8529
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 | 5.0877 | 0.0 |
| No log | 2.0 | 44 | 5.0575 | 0.1176 |
| No log | 3.0 | 66 | 5.0081 | 0.0882 |
| No log | 4.0 | 88 | 4.9152 | 0.4118 |
| No log | 5.0 | 110 | 4.8314 | 0.5294 |
| No log | 6.0 | 132 | 4.7514 | 0.6471 |
| No log | 7.0 | 154 | 4.6622 | 0.7059 |
| No log | 8.0 | 176 | 4.6092 | 0.7941 |
| No log | 9.0 | 198 | 4.5691 | 0.8529 |
| No log | 10.0 | 220 | 4.5547 | 0.8529 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0