---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_keras_callback
model-index:
- name: EngTig/distilgpt2-finetuned-wikitext2
  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. -->

# EngTig/distilgpt2-finetuned-wikitext2

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4784
- Validation Loss: 4.7279
- Epoch: 47

## 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 |
|:----------:|:---------------:|:-----:|
| 2.9937     | 3.8775          | 0     |
| 2.9426     | 3.8763          | 1     |
| 2.8926     | 3.8593          | 2     |
| 2.8445     | 3.8982          | 3     |
| 2.8090     | 3.9044          | 4     |
| 2.7511     | 3.9337          | 5     |
| 2.7140     | 3.9265          | 6     |
| 2.6655     | 3.9483          | 7     |
| 2.6443     | 3.9490          | 8     |
| 2.6153     | 3.9458          | 9     |
| 2.5699     | 3.9660          | 10    |
| 2.5262     | 3.9897          | 11    |
| 2.5002     | 4.0219          | 12    |
| 2.4636     | 4.0540          | 13    |
| 2.4327     | 4.0224          | 14    |
| 2.3945     | 4.0364          | 15    |
| 2.3661     | 4.0640          | 16    |
| 2.3319     | 4.0636          | 17    |
| 2.2992     | 4.0996          | 18    |
| 2.2712     | 4.0886          | 19    |
| 2.2377     | 4.1483          | 20    |
| 2.2054     | 4.1594          | 21    |
| 2.1658     | 4.1989          | 22    |
| 2.1444     | 4.1348          | 23    |
| 2.1129     | 4.1489          | 24    |
| 2.0953     | 4.2259          | 25    |
| 2.0546     | 4.2353          | 26    |
| 2.0281     | 4.3147          | 27    |
| 1.9927     | 4.2586          | 28    |
| 1.9698     | 4.3254          | 29    |
| 1.9373     | 4.3288          | 30    |
| 1.9159     | 4.3262          | 31    |
| 1.8750     | 4.3550          | 32    |
| 1.8480     | 4.3697          | 33    |
| 1.8215     | 4.4233          | 34    |
| 1.7874     | 4.4876          | 35    |
| 1.7685     | 4.5072          | 36    |
| 1.7433     | 4.4617          | 37    |
| 1.7085     | 4.5331          | 38    |
| 1.6839     | 4.5724          | 39    |
| 1.6643     | 4.5819          | 40    |
| 1.6224     | 4.6558          | 41    |
| 1.5981     | 4.5991          | 42    |
| 1.5788     | 4.6276          | 43    |
| 1.5532     | 4.6394          | 44    |
| 1.5164     | 4.6464          | 45    |
| 1.4998     | 4.6634          | 46    |
| 1.4784     | 4.7279          | 47    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2