gpt2_small_AR_bpe_10879_parallel10_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6840
- Accuracy: 0.3783
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 |
|---|
| 5.9372 | 1.0 | 1746 | 4.5279 | 0.3051 |
| 4.3596 | 2.0 | 3492 | 4.1209 | 0.3360 |
| 4.0593 | 3.0 | 5238 | 3.9584 | 0.3500 |
| 3.9653 | 4.0 | 6984 | 3.8649 | 0.3586 |
| 3.8422 | 5.0 | 8730 | 3.8032 | 0.3647 |
| 3.7649 | 6.0 | 10476 | 3.7575 | 0.3695 |
| 3.7088 | 7.0 | 12222 | 3.7265 | 0.3732 |
| 3.6731 | 8.0 | 13968 | 3.7051 | 0.3759 |
| 3.631 | 9.0 | 15714 | 3.6908 | 0.3773 |
| 3.6057 | 10.0 | 17460 | 3.6840 | 0.3783 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
