metadata
library_name: transformers
license: mit
base_model: gpt2-medium
tags:
- generated_from_trainer
model-index:
- name: song_a_day_gpt2_all
results: []
song_a_day_gpt2_all
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0565
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 1200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7649 | 0.1550 | 50 | 3.4886 |
| 3.6032 | 0.3101 | 100 | 3.3497 |
| 3.4405 | 0.4651 | 150 | 3.2716 |
| 3.3981 | 0.6202 | 200 | 3.2304 |
| 3.3739 | 0.7752 | 250 | 3.2005 |
| 3.3871 | 0.9302 | 300 | 3.1779 |
| 3.1784 | 1.0853 | 350 | 3.1585 |
| 3.1311 | 1.2403 | 400 | 3.1418 |
| 3.1673 | 1.3953 | 450 | 3.1298 |
| 3.2047 | 1.5504 | 500 | 3.1215 |
| 3.1322 | 1.7054 | 550 | 3.1100 |
| 3.1048 | 1.8605 | 600 | 3.0982 |
| 3.1359 | 2.0155 | 650 | 3.0885 |
| 2.9576 | 2.1705 | 700 | 3.0837 |
| 2.9204 | 2.3256 | 750 | 3.0745 |
| 2.9127 | 2.4806 | 800 | 3.0654 |
| 2.8982 | 2.6357 | 850 | 3.0628 |
| 3.0112 | 2.7907 | 900 | 3.0554 |
| 2.9847 | 2.9457 | 950 | 3.0466 |
| 2.7827 | 3.1008 | 1000 | 3.0590 |
| 2.7837 | 3.2558 | 1050 | 3.0573 |
| 2.8772 | 3.4109 | 1100 | 3.0577 |
| 2.8217 | 3.5659 | 1150 | 3.0564 |
| 2.813 | 3.7209 | 1200 | 3.0565 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3