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---
tags:
- generated_from_keras_callback
model-index:
- name: distilgpt_new2_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_new2_0060
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.5626
- Validation Loss: 2.4481
- 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 |
|:----------:|:---------------:|:-----:|
| 2.6241 | 2.5129 | 0 |
| 2.6228 | 2.5112 | 1 |
| 2.6216 | 2.5105 | 2 |
| 2.6204 | 2.5101 | 3 |
| 2.6191 | 2.5088 | 4 |
| 2.6180 | 2.5064 | 5 |
| 2.6166 | 2.5045 | 6 |
| 2.6155 | 2.5038 | 7 |
| 2.6143 | 2.5024 | 8 |
| 2.6132 | 2.5009 | 9 |
| 2.6120 | 2.5014 | 10 |
| 2.6108 | 2.4984 | 11 |
| 2.6097 | 2.4983 | 12 |
| 2.6085 | 2.4976 | 13 |
| 2.6073 | 2.4948 | 14 |
| 2.6064 | 2.4945 | 15 |
| 2.6052 | 2.4939 | 16 |
| 2.6039 | 2.4925 | 17 |
| 2.6030 | 2.4912 | 18 |
| 2.6019 | 2.4890 | 19 |
| 2.6007 | 2.4889 | 20 |
| 2.5998 | 2.4872 | 21 |
| 2.5987 | 2.4865 | 22 |
| 2.5977 | 2.4859 | 23 |
| 2.5965 | 2.4844 | 24 |
| 2.5956 | 2.4834 | 25 |
| 2.5944 | 2.4821 | 26 |
| 2.5934 | 2.4805 | 27 |
| 2.5925 | 2.4790 | 28 |
| 2.5914 | 2.4798 | 29 |
| 2.5904 | 2.4777 | 30 |
| 2.5893 | 2.4781 | 31 |
| 2.5883 | 2.4755 | 32 |
| 2.5872 | 2.4763 | 33 |
| 2.5862 | 2.4743 | 34 |
| 2.5851 | 2.4736 | 35 |
| 2.5841 | 2.4732 | 36 |
| 2.5831 | 2.4726 | 37 |
| 2.5822 | 2.4691 | 38 |
| 2.5812 | 2.4689 | 39 |
| 2.5803 | 2.4670 | 40 |
| 2.5792 | 2.4675 | 41 |
| 2.5783 | 2.4650 | 42 |
| 2.5773 | 2.4650 | 43 |
| 2.5763 | 2.4625 | 44 |
| 2.5754 | 2.4615 | 45 |
| 2.5743 | 2.4619 | 46 |
| 2.5735 | 2.4597 | 47 |
| 2.5725 | 2.4594 | 48 |
| 2.5715 | 2.4582 | 49 |
| 2.5707 | 2.4568 | 50 |
| 2.5699 | 2.4562 | 51 |
| 2.5689 | 2.4565 | 52 |
| 2.5680 | 2.4550 | 53 |
| 2.5671 | 2.4536 | 54 |
| 2.5661 | 2.4529 | 55 |
| 2.5653 | 2.4513 | 56 |
| 2.5644 | 2.4515 | 57 |
| 2.5635 | 2.4510 | 58 |
| 2.5626 | 2.4481 | 59 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
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