Downloads · 30 days
11
28% of all-time downloads
gpt2-imdb-rm-adapter
mnoukhov/gpt2-imdb-rm-adapter
gpt2-imdb-rm-adapter is a machine learning model from mnoukhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Repo size
38.4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors9.6 MB · 74%
At a glance
- Library
- peft
- Access
- Public
- Created
- Apr 23, 2024
- Updated
- Apr 23, 2024
- SHA
- 009fa6b3
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. -->
gpt2-imdb-rm-adapter
This model is a fine-tuned version of lvwerra/gpt2-imdb on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1817
- Accuracy: 0.9322
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.19 | 1.0 | 1563 | 0.1817 | 0.9322 |
Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- Created
- Apr 23, 2024
- Updated
- Apr 23, 2024