metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: politicalpodcasts-2label-c09_lib01-model
results: []
politicalpodcasts-2label-c09_lib01-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3631
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7792 | 1.0 | 473 | 2.6747 |
| 2.6052 | 2.0 | 946 | 2.5304 |
| 2.4254 | 3.0 | 1419 | 2.4660 |
| 2.285 | 4.0 | 1892 | 2.4240 |
| 2.2946 | 5.0 | 2365 | 2.3972 |
| 2.2922 | 6.0 | 2838 | 2.3813 |
| 2.1942 | 7.0 | 3311 | 2.3739 |
| 2.1507 | 8.0 | 3784 | 2.3667 |
| 2.1526 | 9.0 | 4257 | 2.3639 |
| 2.1506 | 10.0 | 4730 | 2.3631 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3