---
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