---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: eliwill/stoic-generator-10e
  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-10e

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: 3.4753
- Validation Loss: 3.7980
- Epoch: 9

## 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 |
|:----------:|:---------------:|:-----:|
| 4.0230     | 3.9474          | 0     |
| 3.8580     | 3.8982          | 1     |
| 3.7757     | 3.8721          | 2     |
| 3.7149     | 3.8489          | 3     |
| 3.6640     | 3.8343          | 4     |
| 3.6210     | 3.8152          | 5     |
| 3.5796     | 3.8088          | 6     |
| 3.5429     | 3.8038          | 7     |
| 3.5061     | 3.7967          | 8     |
| 3.4753     | 3.7980          | 9     |


### Framework versions

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