Downloads · 30 days
17
11% of all-time downloads
toxigen-albert-binary-clsf
minhleduc/toxigen-albert-binary-clsf
toxigen-albert-binary-clsf is a machine learning model from minhleduc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
152
Public
Parameters
11.7M
94.3 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors46.7 MB · 94%
At a glance
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024
- SHA
- 6f796b0f
Base models
Datasets
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. -->
toxigen-albert-binary-clsf
This model is a fine-tuned version of albert/albert-base-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Precision: 1.0000
- Recall: 1.0000
- Accuracy: 1.0000
Model description
More information needed
Intended uses & limitations
Finetuning albert/albert-base-v1 on the toxigen/toxigen-data dataset on the task of binary classfication.
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy |
|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 3137 | 0.0000 | 1.0000 | 1.0000 | 1.0000 |
| 0.0001 | 2.0 | 6274 | 0.0000 | 1.0000 | 1.0000 | 1.0000 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- albert
- License
- apache-2.0
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024