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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 is a fine-tuned version of [/content/drive/MyDrive/Colab Notebooks/oscar/trybackup/new_backup_008585](https://huggingface.co//content/drive/MyDrive/Colab Notebooks/oscar/trybackup/new_backup_008585) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.6610
- Validation Loss: 2.5503
- 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 |
|:----------:|:---------------:|:-----:|
| 2.7786 | 2.6701 | 0 |
| 2.7759 | 2.6662 | 1 |
| 2.7730 | 2.6642 | 2 |
| 2.7704 | 2.6602 | 3 |
| 2.7679 | 2.6590 | 4 |
| 2.7654 | 2.6565 | 5 |
| 2.7629 | 2.6538 | 6 |
| 2.7604 | 2.6525 | 7 |
| 2.7579 | 2.6489 | 8 |
| 2.7556 | 2.6452 | 9 |
| 2.7531 | 2.6454 | 10 |
| 2.7505 | 2.6411 | 11 |
| 2.7483 | 2.6387 | 12 |
| 2.7458 | 2.6370 | 13 |
| 2.7435 | 2.6365 | 14 |
| 2.7412 | 2.6308 | 15 |
| 2.7391 | 2.6289 | 16 |
| 2.7368 | 2.6288 | 17 |
| 2.7347 | 2.6257 | 18 |
| 2.7325 | 2.6238 | 19 |
| 2.7303 | 2.6228 | 20 |
| 2.7282 | 2.6189 | 21 |
| 2.7262 | 2.6170 | 22 |
| 2.7240 | 2.6145 | 23 |
| 2.7221 | 2.6137 | 24 |
| 2.7201 | 2.6108 | 25 |
| 2.7181 | 2.6082 | 26 |
| 2.7161 | 2.6057 | 27 |
| 2.7141 | 2.6039 | 28 |
| 2.7122 | 2.6031 | 29 |
| 2.7103 | 2.6018 | 30 |
| 2.7083 | 2.5984 | 31 |
| 2.7064 | 2.5975 | 32 |
| 2.7045 | 2.5941 | 33 |
| 2.7026 | 2.5945 | 34 |
| 2.7008 | 2.5930 | 35 |
| 2.6989 | 2.5874 | 36 |
| 2.6972 | 2.5864 | 37 |
| 2.6953 | 2.5858 | 38 |
| 2.6935 | 2.5831 | 39 |
| 2.6917 | 2.5809 | 40 |
| 2.6900 | 2.5791 | 41 |
| 2.6881 | 2.5780 | 42 |
| 2.6865 | 2.5765 | 43 |
| 2.6848 | 2.5761 | 44 |
| 2.6832 | 2.5720 | 45 |
| 2.6814 | 2.5709 | 46 |
| 2.6797 | 2.5689 | 47 |
| 2.6782 | 2.5692 | 48 |
| 2.6766 | 2.5672 | 49 |
| 2.6750 | 2.5646 | 50 |
| 2.6733 | 2.5635 | 51 |
| 2.6719 | 2.5623 | 52 |
| 2.6701 | 2.5594 | 53 |
| 2.6684 | 2.5586 | 54 |
| 2.6670 | 2.5584 | 55 |
| 2.6655 | 2.5556 | 56 |
| 2.6640 | 2.5542 | 57 |
| 2.6626 | 2.5521 | 58 |
| 2.6610 | 2.5503 | 59 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
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