Downloads · 30 days
6
3% of all-time downloads
reward-gpt-duplicate-answer-300
bradmin/reward-gpt-duplicate-answer-300
reward-gpt-duplicate-answer-300 is a text classification model from bradmin. Use it when you need a label for a piece of 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
184
Public
Parameters
1.3B
50.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt30.5 GB · 60%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt_neox
- Access
- Public
- Created
- Nov 28, 2023
- Updated
- Nov 29, 2023
- SHA
- 69499309
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. -->
reward-gpt-duplicate-answer-300
This model is a fine-tuned version of EleutherAI/polyglot-ko-1.3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1708
- Accuracy: 0.0
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: 9e-06
- train_batch_size: 6
- eval_batch_size: 6
- seed: 2023
- gradient_accumulation_steps: 10
- total_train_batch_size: 60
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2699 | 0.17 | 100 | 0.2734 | 0.0 |
| 0.2827 | 0.34 | 200 | 0.2311 | 0.0 |
| 0.2001 | 0.51 | 300 | 0.1920 | 0.0 |
| 0.1955 | 0.69 | 400 | 0.1799 | 0.0 |
| 0.1334 | 0.86 | 500 | 0.1708 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- gpt_neox
- License
- apache-2.0
- Created
- Nov 28, 2023
- Updated
- Nov 29, 2023