GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on the Cmotions - Beatles lyrics dataset. It will complete an input prompt with Beatles-like text.
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.4438 | 1.0 | 18 | 1.8004 |
2.1981 | 2.0 | 36 | 1.6985 |
1.9766 | 3.0 | 54 | 1.6487 |
1.8233 | 4.0 | 72 | 1.6384 |
1.6137 | 5.0 | 90 | 1.6574 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Downloads last month
- 24
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.