File size: 2,247 Bytes
3aa0323 db2862b 3aa0323 db2862b 3aa0323 db2862b 3aa0323 e97c693 e24c5fc 4b40484 7471db1 3aa0323 2f4ad16 3aa0323 a6c7588 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
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
|