gpt2-xl_SATACT_v1
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: 7.9050
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
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 2
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.075 | 1.0 | 460 | 9.1356 |
| 9.3223 | 2.0 | 920 | 8.3508 |
| 8.0863 | 3.0 | 1380 | 8.0067 |
| 7.817 | 4.0 | 1840 | 7.9050 |
Framework versions
- PEFT 0.15.1
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
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Model tree for Salm00n/gpt2-xl_SATACT_v1
Base model
openai-community/gpt2-xl