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---
tags:
- generated_from_keras_callback
model-index:
- name: distilgpt_new_0060
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. -->
# distilgpt_new_0060
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.8691
- Validation Loss: 2.7610
- Epoch: 59
## 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': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 5.6632 | 4.5153 | 0 |
| 4.4292 | 4.0923 | 1 |
| 4.1169 | 3.8723 | 2 |
| 3.9326 | 3.7260 | 3 |
| 3.8026 | 3.6281 | 4 |
| 3.7045 | 3.5355 | 5 |
| 3.6254 | 3.4645 | 6 |
| 3.5604 | 3.4093 | 7 |
| 3.5048 | 3.3587 | 8 |
| 3.4569 | 3.3136 | 9 |
| 3.4155 | 3.2778 | 10 |
| 3.3791 | 3.2443 | 11 |
| 3.3470 | 3.2157 | 12 |
| 3.3183 | 3.1854 | 13 |
| 3.2922 | 3.1642 | 14 |
| 3.2685 | 3.1400 | 15 |
| 3.2467 | 3.1193 | 16 |
| 3.2267 | 3.1009 | 17 |
| 3.2078 | 3.0838 | 18 |
| 3.1904 | 3.0689 | 19 |
| 3.1739 | 3.0520 | 20 |
| 3.1584 | 3.0379 | 21 |
| 3.1438 | 3.0255 | 22 |
| 3.1300 | 3.0116 | 23 |
| 3.1168 | 2.9965 | 24 |
| 3.1044 | 2.9866 | 25 |
| 3.0925 | 2.9752 | 26 |
| 3.0812 | 2.9631 | 27 |
| 3.0704 | 2.9539 | 28 |
| 3.0601 | 2.9458 | 29 |
| 3.0502 | 2.9340 | 30 |
| 3.0408 | 2.9251 | 31 |
| 3.0317 | 2.9179 | 32 |
| 3.0230 | 2.9082 | 33 |
| 3.0147 | 2.9002 | 34 |
| 3.0065 | 2.8948 | 35 |
| 2.9987 | 2.8855 | 36 |
| 2.9911 | 2.8779 | 37 |
| 2.9838 | 2.8706 | 38 |
| 2.9767 | 2.8643 | 39 |
| 2.9698 | 2.8570 | 40 |
| 2.9632 | 2.8501 | 41 |
| 2.9567 | 2.8441 | 42 |
| 2.9505 | 2.8385 | 43 |
| 2.9445 | 2.8327 | 44 |
| 2.9385 | 2.8260 | 45 |
| 2.9329 | 2.8213 | 46 |
| 2.9272 | 2.8160 | 47 |
| 2.9217 | 2.8107 | 48 |
| 2.9162 | 2.8052 | 49 |
| 2.9110 | 2.8020 | 50 |
| 2.9060 | 2.7938 | 51 |
| 2.9010 | 2.7896 | 52 |
| 2.8962 | 2.7857 | 53 |
| 2.8913 | 2.7827 | 54 |
| 2.8866 | 2.7768 | 55 |
| 2.8821 | 2.7724 | 56 |
| 2.8776 | 2.7679 | 57 |
| 2.8733 | 2.7642 | 58 |
| 2.8691 | 2.7610 | 59 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
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