---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: eliwill/stoic-generator-distil-gpt2
  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. -->

# eliwill/stoic-generator-distil-gpt2

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: 3.3439
- Validation Loss: 3.7738
- Epoch: 19

## 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 |
|:----------:|:---------------:|:-----:|
| 4.2818     | 3.9629          | 0     |
| 4.0906     | 3.9052          | 1     |
| 3.9946     | 3.8684          | 2     |
| 3.9239     | 3.8412          | 3     |
| 3.8689     | 3.8316          | 4     |
| 3.8185     | 3.8156          | 5     |
| 3.7751     | 3.8032          | 6     |
| 3.7325     | 3.7950          | 7     |
| 3.6929     | 3.7901          | 8     |
| 3.6575     | 3.7770          | 9     |
| 3.6223     | 3.7658          | 10    |
| 3.5882     | 3.7745          | 11    |
| 3.5536     | 3.7642          | 12    |
| 3.5226     | 3.7645          | 13    |
| 3.4912     | 3.7616          | 14    |
| 3.4595     | 3.7598          | 15    |
| 3.4289     | 3.7604          | 16    |
| 3.3992     | 3.7555          | 17    |
| 3.3713     | 3.7646          | 18    |
| 3.3439     | 3.7738          | 19    |


### Framework versions

- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.5.1
- Tokenizers 0.12.1