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---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: GPT-PDT-5-8
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# GPT-PDT-5-8
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1105
- Validation Loss: 0.1118
- Epoch: 7
## 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': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.1174 | 0.1148 | 0 |
| 0.1132 | 0.1145 | 1 |
| 0.1122 | 0.1131 | 2 |
| 0.1116 | 0.1133 | 3 |
| 0.1112 | 0.1129 | 4 |
| 0.1110 | 0.1121 | 5 |
| 0.1107 | 0.1120 | 6 |
| 0.1105 | 0.1118 | 7 |
### Framework versions
- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2
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