Downloads · 30 days
3
11% of all-time downloads
distil_bert_own_txt_clf_model
Senthilkumar-M/distil_bert_own_txt_clf_model
distil_bert_own_txt_clf_model is a text classification model from Senthilkumar-M. 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
28
Public
Parameters
109M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- Aug 8, 2024
- SHA
- 635d9594
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. -->
distil_bert_own_txt_clf_model
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: 0.4812
- Accuracy: 0.92
- F1: 0.9132
- Precision: 0.95
- Recall: 0.9
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.1251 | 12.5 | 50 | 0.6663 | 0.76 | 0.7758 | 0.7762 | 0.7783 |
| 0.088 | 25.0 | 100 | 0.8098 | 0.8 | 0.8211 | 0.8643 | 0.8033 |
| 0.0019 | 37.5 | 150 | 0.8122 | 0.84 | 0.8555 | 0.8833 | 0.8433 |
| 0.0012 | 50.0 | 200 | 0.8162 | 0.84 | 0.8555 | 0.8833 | 0.8433 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 26, 2024
- Updated
- Aug 8, 2024