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license: mit
tags:
- generated_from_keras_callback
model-index:
- name: pradeep4321/model2
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. -->
# pradeep4321/model2
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: 5.9225
- Validation Loss: 7.0365
- Epoch: 21
## 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': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 200, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 7.2465 | 7.5143 | 0 |
| 7.1890 | 7.4800 | 1 |
| 7.1104 | 7.4496 | 2 |
| 7.0491 | 7.4218 | 3 |
| 7.0064 | 7.3964 | 4 |
| 6.9428 | 7.3732 | 5 |
| 6.9061 | 7.3505 | 6 |
| 6.8538 | 7.3301 | 7 |
| 6.7857 | 7.3108 | 8 |
| 6.7253 | 7.2893 | 9 |
| 6.6743 | 7.2693 | 10 |
| 6.5944 | 7.2491 | 11 |
| 6.5499 | 7.2288 | 12 |
| 6.4767 | 7.2084 | 13 |
| 6.4145 | 7.1887 | 14 |
| 6.3713 | 7.1664 | 15 |
| 6.2863 | 7.1450 | 16 |
| 6.2017 | 7.1229 | 17 |
| 6.1524 | 7.1017 | 18 |
| 6.0841 | 7.0788 | 19 |
| 5.9643 | 7.0540 | 20 |
| 5.9225 | 7.0365 | 21 |
### Framework versions
- Transformers 4.29.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
|