---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: bnc_spoken-aochildes-notm-log-rarity-seed
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bnc_spoken-aochildes-notm-log-rarity-seed

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1809

## 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:
- learning_rate: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.3629        | 0.29  | 500   | 5.3438          |
| 5.0612        | 0.59  | 1000  | 4.9309          |
| 4.7299        | 0.88  | 1500  | 4.6994          |
| 4.4646        | 1.18  | 2000  | 4.5689          |
| 4.3241        | 1.47  | 2500  | 4.4556          |
| 4.2231        | 1.77  | 3000  | 4.3658          |
| 4.091         | 2.06  | 3500  | 4.2969          |
| 3.9203        | 2.36  | 4000  | 4.2456          |
| 3.8988        | 2.65  | 4500  | 4.2005          |
| 3.8473        | 2.95  | 5000  | 4.1559          |
| 3.655         | 3.24  | 5500  | 4.1528          |
| 3.6161        | 3.54  | 6000  | 4.1208          |
| 3.587         | 3.83  | 6500  | 4.0910          |
| 3.472         | 4.12  | 7000  | 4.1000          |
| 3.3442        | 4.42  | 7500  | 4.0986          |
| 3.3331        | 4.71  | 8000  | 4.0864          |
| 3.3218        | 5.01  | 8500  | 4.0869          |
| 3.1604        | 5.3   | 9000  | 4.0981          |
| 3.1589        | 5.6   | 9500  | 4.0985          |
| 3.1531        | 5.89  | 10000 | 4.0983          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3