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---
license: afl-3.0
language:
- eng
tags:
- generative-model
datasets:
- TRBLLmaker
model:
- gpt2
widget:
- text: "artist: Ashe.\ntitle: Moral of the story.\nlyrics: 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.\nmeaning:"
example_title: "Moral of the story"
---
[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
|