Downloads · 30 days
6
16% of all-time downloads
opt-350m-hate-classifier
advy/opt-350m-hate-classifier
opt-350m-hate-classifier is a machine learning model from advy. 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. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
All-time downloads
38
Public
Repo size
31.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.3 MB · 57%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025
- SHA
- d48ac917
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. -->
opt-350m-hate-classifier
This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6381
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6757 | 1.0 | 450 | 0.4493 |
| 0.4331 | 2.0 | 900 | 0.4464 |
| 0.0726 | 3.0 | 1350 | 0.6210 |
| 0.0006 | 4.0 | 1800 | 0.6127 |
| 0.3316 | 5.0 | 2250 | 0.6381 |
Framework versions
- PEFT 0.17.1
- Transformers 4.46.3
- Pytorch 2.8.0+cu128
- Datasets 2.17.0
- Tokenizers 0.20.0
- Library
- peft
- License
- other
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025