gpt2_medium_EN_superbpe_65536_parallel3_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6606
- Accuracy: 0.3500
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: 64
- eval_batch_size: 64
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 4.2295 | 1.0 | 21906 | 4.1446 | 0.2896 |
| 3.9984 | 2.0 | 43812 | 3.9488 | 0.3103 |
| 3.879 | 3.0 | 65718 | 3.8514 | 0.3213 |
| 3.7934 | 4.0 | 87624 | 3.7956 | 0.3288 |
| 3.7266 | 5.0 | 109530 | 3.7542 | 0.3343 |
| 3.6663 | 6.0 | 131436 | 3.7236 | 0.3393 |
| 3.619 | 7.0 | 153342 | 3.6986 | 0.3433 |
| 3.5666 | 8.0 | 175248 | 3.6801 | 0.3461 |
| 3.5235 | 9.0 | 197154 | 3.6674 | 0.3485 |
| 3.4794 | 10.0 | 219060 | 3.6606 | 0.3500 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
