Downloads · 30 days
5
24% of all-time downloads
hw1
jimmy9613/hw1
hw1 is a text classification model from jimmy9613. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
21
Public
Parameters
67M
19.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt12.3 GB · 66%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024
- SHA
- bdb8c44e
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. -->
hw1
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8094
- Matthews Correlation: 0.5380
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: 1.6240863418110765e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 20
- 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 | Matthews Correlation |
|---|---|---|---|---|
| 0.5225 | 1.0 | 535 | 0.4641 | 0.4724 |
| 0.3603 | 2.0 | 1070 | 0.5064 | 0.4987 |
| 0.2606 | 3.0 | 1605 | 0.5976 | 0.5232 |
| 0.184 | 4.0 | 2140 | 0.6568 | 0.5221 |
| 0.142 | 5.0 | 2675 | 0.8094 | 0.5380 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024