Downloads · 30 days
15
30% of all-time downloads
lyt_results
Paul333/lyt_results
lyt_results is a text generation model from Paul333. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
50
Public
Repo size
655 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin328 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Dec 8, 2023
- Updated
- Dec 8, 2023
- SHA
- bdd25372
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
lyt_results
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7435
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 283 | 3.7645 |
| 3.8884 | 2.0 | 566 | 3.7468 |
| 3.8884 | 3.0 | 849 | 3.7435 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.13.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Dec 8, 2023
- Updated
- Dec 8, 2023