gpt2_small_ZH_unigram_8192_parallel10_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5583
- Accuracy: 0.3818
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: 128
- eval_batch_size: 128
- seed: 42
- 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 |
|---|
| 5.7068 | 1.0 | 1716 | 4.3414 | 0.3014 |
| 4.201 | 2.0 | 3432 | 3.9806 | 0.3350 |
| 3.9299 | 3.0 | 5148 | 3.8251 | 0.3506 |
| 3.8369 | 4.0 | 6864 | 3.7354 | 0.3604 |
| 3.7213 | 5.0 | 8580 | 3.6720 | 0.3673 |
| 3.6463 | 6.0 | 10296 | 3.6297 | 0.3729 |
| 3.5887 | 7.0 | 12012 | 3.6026 | 0.3754 |
| 3.5486 | 8.0 | 13728 | 3.5798 | 0.3792 |
| 3.5128 | 9.0 | 15444 | 3.5654 | 0.3807 |
| 3.4857 | 10.0 | 17160 | 3.5583 | 0.3818 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
