gpt2-xl_RACE-H_v3
This model is a fine-tuned version of openai-community/gpt2-xl on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.4540
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.6609 | 1.0 | 919 | 5.2022 |
| 6.417 | 2.0 | 1838 | 5.1851 |
| 5.351 | 3.0 | 2757 | 5.2672 |
| 4.3817 | 4.0 | 3676 | 6.2480 |
| 3.6784 | 5.0 | 4595 | 6.4540 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Base model
openai-community/gpt2-xl