---
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