| |
|
| | --- |
| | 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 |
| | |
