gpt2_medium_EN_bpe_32768_parallel3-100_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8433
- Accuracy: 0.4650
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 |
|---|
| 3.3341 | 1.0 | 8069 | 3.2500 | 0.4128 |
| 3.1073 | 2.0 | 16138 | 3.0534 | 0.4341 |
| 2.9816 | 3.0 | 24207 | 2.9663 | 0.4444 |
| 2.8907 | 4.0 | 32276 | 2.9146 | 0.4516 |
| 2.8213 | 5.0 | 40345 | 2.8838 | 0.4558 |
| 2.7552 | 6.0 | 48414 | 2.8643 | 0.4591 |
| 2.6975 | 7.0 | 56483 | 2.8526 | 0.4618 |
| 2.6423 | 8.0 | 64552 | 2.8453 | 0.4627 |
| 2.5948 | 9.0 | 72621 | 2.8423 | 0.4644 |
| 2.5512 | 10.0 | 80690 | 2.8433 | 0.4650 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
