---
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: cbt-gutenberg_fixed-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. -->

# cbt-gutenberg_fixed-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: 4.1166

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.3486        | 0.29  | 500   | 5.3406          |
| 5.0309        | 0.58  | 1000  | 4.9285          |
| 4.7101        | 0.87  | 1500  | 4.6879          |
| 4.4621        | 1.17  | 2000  | 4.5500          |
| 4.2913        | 1.46  | 2500  | 4.4298          |
| 4.2026        | 1.75  | 3000  | 4.3310          |
| 4.0829        | 2.04  | 3500  | 4.2546          |
| 3.8956        | 2.33  | 4000  | 4.2130          |
| 3.8692        | 2.62  | 4500  | 4.1583          |
| 3.8292        | 2.91  | 5000  | 4.1132          |
| 3.6507        | 3.21  | 5500  | 4.1047          |
| 3.5891        | 3.5   | 6000  | 4.0753          |
| 3.5712        | 3.79  | 6500  | 4.0432          |
| 3.4932        | 4.08  | 7000  | 4.0421          |
| 3.3212        | 4.37  | 7500  | 4.0385          |
| 3.3167        | 4.66  | 8000  | 4.0261          |
| 3.3035        | 4.95  | 8500  | 4.0122          |
| 3.1681        | 5.24  | 9000  | 4.0240          |
| 3.1387        | 5.54  | 9500  | 4.0244          |
| 3.1401        | 5.83  | 10000 | 4.0231          |


### Framework versions

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