politicalpodcasts-2label-c06_lib04-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2874
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 |
|---|---|---|---|
| 2.7179 | 1.0 | 710 | 2.5947 |
| 2.4911 | 2.0 | 1420 | 2.4519 |
| 2.4905 | 3.0 | 2130 | 2.3818 |
| 2.3404 | 4.0 | 2840 | 2.3460 |
| 2.119 | 5.0 | 3550 | 2.3201 |
| 2.0292 | 6.0 | 4260 | 2.3055 |
| 2.0534 | 7.0 | 4970 | 2.2966 |
| 2.1394 | 8.0 | 5680 | 2.2912 |
| 2.0048 | 9.0 | 6390 | 2.2888 |
| 2.0762 | 10.0 | 7100 | 2.2874 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3
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Base model
openai-community/gpt2