Downloads · 30 days
10
20% of all-time downloads
reward-model
anhnv125/reward-model
reward-model is a text classification model from anhnv125. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
50
Public
Parameters
124M
3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin498 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Oct 31, 2023
- Updated
- Dec 31, 2023
- SHA
- 8a22198e
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-model
This model is a fine-tuned version of ChaiML/reward_models_100_170000000_cp_498032 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5080
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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 7
- gradient_accumulation_steps: 16
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5245 | 1.0 | 388 | 0.5152 |
| 0.5334 | 2.0 | 776 | 0.5080 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- Created
- Oct 31, 2023
- Updated
- Dec 31, 2023