Downloads · 30 days
20
18% of all-time downloads
GPTL-APPS
AdnanRiaz107/GPTL-APPS
GPTL-APPS is a text generation model from AdnanRiaz107. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
114
Public
Parameters
774M
115 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors3.1 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Apr 2, 2024
- Updated
- Apr 3, 2024
- SHA
- 83524353
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. -->
GPTL-APPS
This model is a fine-tuned version of gpt2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7539
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0941 | 0.04 | 200 | 0.9988 |
| 0.8014 | 0.08 | 400 | 0.9315 |
| 0.8452 | 0.12 | 600 | 0.8909 |
| 0.9507 | 0.16 | 800 | 0.8903 |
| 0.6988 | 0.2 | 1000 | 0.8632 |
| 0.6965 | 0.24 | 1200 | 0.8553 |
| 0.7256 | 0.28 | 1400 | 0.8222 |
| 0.7109 | 0.32 | 1600 | 0.8162 |
| 0.6418 | 0.36 | 1800 | 0.8086 |
| 0.649 | 0.4 | 2000 | 0.8051 |
| 0.7378 | 0.44 | 2200 | 0.7974 |
| 0.7202 | 0.48 | 2400 | 0.7933 |
| 0.6896 | 0.52 | 2600 | 0.7817 |
| 0.5561 | 0.56 | 2800 | 0.7945 |
| 0.6497 | 0.6 | 3000 | 0.7774 |
| 0.735 | 0.64 | 3200 | 0.7758 |
| 0.5507 | 0.68 | 3400 | 0.7741 |
| 0.5615 | 0.72 | 3600 | 0.7677 |
| 0.6098 | 0.76 | 3800 | 0.7605 |
| 0.6038 | 0.8 | 4000 | 0.7653 |
| 0.5356 | 0.84 | 4200 | 0.7562 |
| 0.5699 | 0.88 | 4400 | 0.7586 |
| 0.6348 | 0.92 | 4600 | 0.7547 |
| 0.6458 | 0.96 | 4800 | 0.7539 |
| 0.6236 | 1.0 | 5000 | 0.7539 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 2, 2024
- Updated
- Apr 3, 2024