gpt2_small_FI_bpe_8192_parallel10_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3014
- Accuracy: 0.4339
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 |
|---|
| 5.7073 | 1.0 | 1665 | 4.2438 | 0.3339 |
| 4.0237 | 2.0 | 3330 | 3.7901 | 0.3748 |
| 3.814 | 3.0 | 4995 | 3.6001 | 0.3963 |
| 3.5859 | 4.0 | 6660 | 3.4939 | 0.4079 |
| 3.4671 | 5.0 | 8325 | 3.4285 | 0.4168 |
| 3.4144 | 6.0 | 9990 | 3.3827 | 0.4225 |
| 3.3391 | 7.0 | 11655 | 3.3488 | 0.4270 |
| 3.2924 | 8.0 | 13320 | 3.3254 | 0.4303 |
| 3.2678 | 9.0 | 14985 | 3.3081 | 0.4328 |
| 3.2328 | 10.0 | 16650 | 3.3014 | 0.4339 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
