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Imran1/distilgpt2-poem
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.5497
- Train Accuracy: 0.0186
- Validation Loss: 1.5324
- Validation Accuracy: 0.0198
- Epoch: 4
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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 2.2645 | 0.0238 | 2.0056 | 0.0188 | 0 |
| 1.9390 | 0.0221 | 1.7995 | 0.0192 | 1 |
| 1.7761 | 0.0201 | 1.6748 | 0.0200 | 2 |
| 1.6463 | 0.0193 | 1.5953 | 0.0191 | 3 |
| 1.5497 | 0.0186 | 1.5324 | 0.0198 | 4 |
Framework versions
- Transformers 4.31.0.dev0
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
