---
language:
- eng
license: afl-3.0
tags:
- generative-model
datasets:
- TRBLLmaker
model:
- gpt2
widget:
- text: 'artist: Ashe.

    title: Moral of the story.

    lyrics: Some mistakes get made That''s alright, that''s okay You can think that
    you''re in love When you''re really just in pain.

    meaning:'
  example_title: Moral of the story
base_model: gpt2-medium
---

[Link to the arxiv](https://arxiv.org/pdf/2212.04917.pdf)

[Datasets](https://huggingface.co/datasets/MorVentura/TRBLLmaker)


### About Us
Created by [Mor Ventura](https://www.linkedin.com/in/mor-ventura/) and [Michael Toker](https://www.linkedin.com/in/mnlp/).

---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32
  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. -->

# checkpoint_gpt2-medium_lyrics_meaning_2022-03-10-16-16-32

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5896
- Accuracy: 0.4923

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7781        | 1.01  | 128  | 2.6284          | 0.4875   |
| 2.6217        | 2.02  | 256  | 2.6022          | 0.4908   |
| 2.569         | 3.02  | 384  | 2.5928          | 0.4917   |


### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.1
- Datasets 1.18.3
- Tokenizers 0.11.6