metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: politicalpodcasts-2label-c02_lib08-model
results: []
politicalpodcasts-2label-c02_lib08-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2236
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 |
|---|---|---|---|
| 2.7948 | 1.0 | 622 | 2.5509 |
| 2.5856 | 2.0 | 1244 | 2.3962 |
| 2.3402 | 3.0 | 1866 | 2.3246 |
| 2.2104 | 4.0 | 2488 | 2.2859 |
| 2.1617 | 5.0 | 3110 | 2.2602 |
| 2.1231 | 6.0 | 3732 | 2.2430 |
| 2.052 | 7.0 | 4354 | 2.2322 |
| 2.0644 | 8.0 | 4976 | 2.2263 |
| 2.1507 | 9.0 | 5598 | 2.2228 |
| 2.0294 | 10.0 | 6220 | 2.2236 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3