---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: amanneo/mail-generator-mini
  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. -->

# amanneo/mail-generator-mini

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.4613
- Train Accuracy: 0.1611
- Validation Loss: 5.2617
- Validation Accuracy: 0.1386
- 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -925, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 10.0053    | 0.1068         | 8.5247          | 0.1394              | 0     |
| 8.7772     | 0.1505         | 7.9685          | 0.1656              | 1     |
| 8.2057     | 0.1663         | 7.4436          | 0.1655              | 2     |
| 7.5786     | 0.1611         | 6.8572          | 0.1654              | 3     |
| 6.9698     | 0.1679         | 6.3646          | 0.1735              | 4     |
| 6.4911     | 0.1763         | 6.0124          | 0.1787              | 5     |
| 6.1632     | 0.1834         | 5.7751          | 0.1826              | 6     |
| 5.9057     | 0.1840         | 5.5786          | 0.1749              | 7     |
| 5.6874     | 0.1758         | 5.4023          | 0.1616              | 8     |
| 5.4613     | 0.1611         | 5.2617          | 0.1386              | 9     |


### Framework versions

- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1