Downloads · 30 days
15
4% of all-time downloads
gpt2_summarization_reward_model
Tristan/gpt2_summarization_reward_model
gpt2_summarization_reward_model is a text classification model from Tristan. Use it when you need a label for a piece of 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
339
Public
Repo size
8.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin510 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Jan 26, 2023
- Updated
- Feb 3, 2023
- SHA
- 2a0f4577
Try a prompt
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. -->
gpt2_summarization_reward_model
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7376
- Accuracy: 0.6020
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6521 | 1.0 | 1451 | 0.6670 | 0.6037 |
| 0.6101 | 2.0 | 2902 | 0.6763 | 0.6022 |
| 0.5772 | 3.0 | 4353 | 0.7034 | 0.6026 |
| 0.5503 | 4.0 | 5804 | 0.7215 | 0.6024 |
| 0.5347 | 5.0 | 7255 | 0.7376 | 0.6020 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Jan 26, 2023
- Updated
- Feb 3, 2023