metadata
base_model: raygx/Nepali-DistilGPT2
tags:
- generated_from_keras_callback
model-index:
- name: distilGPT-NepSA
results: []
distilGPT-NepSA
This model is a fine-tuned version of raygx/Nepali-DistilGPT2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6059
- Validation Loss: 0.6725
- Epoch: 2
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.8286 | 0.7084 | 0 |
| 0.6756 | 0.6550 | 1 |
| 0.6059 | 0.6725 | 2 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3