Downloads · 30 days
4
18% of all-time downloads
distilbert-base-uncased-finetuned-task1
livingpool/distilbert-base-uncased-finetuned-task1
distilbert-base-uncased-finetuned-task1 is a text classification model from livingpool. 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
22
Public
Parameters
67M
4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 8, 2024
- Updated
- Jun 9, 2024
- SHA
- 5462af74
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. -->
distilbert-base-uncased-finetuned-task1
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: 0.5222
- Accuracy: 0.3333
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 243 | 0.5222 | 0.3333 |
| No log | 2.0 | 486 | 0.5607 | 0.2518 |
| 0.4004 | 3.0 | 729 | 0.6668 | 0.1981 |
| 0.4004 | 4.0 | 972 | 0.8175 | 0.1434 |
| 0.2129 | 5.0 | 1215 | 1.0103 | 0.1063 |
| 0.2129 | 6.0 | 1458 | 1.1914 | 0.0702 |
| 0.0934 | 7.0 | 1701 | 1.2527 | 0.0681 |
| 0.0934 | 8.0 | 1944 | 1.3984 | 0.0588 |
| 0.0477 | 9.0 | 2187 | 1.4491 | 0.0495 |
| 0.0477 | 10.0 | 2430 | 1.4925 | 0.0413 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 8, 2024
- Updated
- Jun 9, 2024