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botGPT2_org_ds_cosine
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1752
- Train Accuracy: 0.0379
- Train Perplexity: 236.0702
- Validation Loss: 0.1399
- Validation Accuracy: 0.0368
- Validation Perplexity: 372.2610
- Epoch: 3
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': 'AdamW', 'weight_decay': 0.004, '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': 5.4921643e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Train Perplexity | Validation Loss | Validation Accuracy | Validation Perplexity | Epoch |
|---|---|---|---|---|---|---|
| 1.3340 | 0.0379 | 1745.3442 | 0.2794 | 0.0350 | 106.1728 | 0 |
| 0.2532 | 0.0380 | 138.7101 | 0.1499 | 0.0374 | 397.5620 | 1 |
| 0.1780 | 0.0379 | 232.5203 | 0.1403 | 0.0375 | 365.7160 | 2 |
| 0.1752 | 0.0379 | 236.0702 | 0.1399 | 0.0368 | 372.2610 | 3 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2
