Downloads · 30 days
22
35% of all-time downloads
distilbert-base-uncased_08112024T130901
Imkaran/distilbert-base-uncased_08112024T130901
distilbert-base-uncased_08112024T130901 is a text classification model from Imkaran. 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
62
Public
Parameters
67M
268 MB 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
- Nov 8, 2024
- Updated
- Nov 8, 2024
- SHA
- 96bb377e
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_08112024T130901
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4617
- F1: 0.8549
- Learning Rate: 0.0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 600
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Rate |
|---|---|---|---|---|---|
| No log | 0.9942 | 86 | 1.7918 | 0.1082 | 0.0000 |
| No log | 2.0 | 173 | 1.7405 | 0.2971 | 0.0000 |
| No log | 2.9942 | 259 | 1.4964 | 0.4840 | 0.0000 |
| No log | 4.0 | 346 | 1.2746 | 0.5281 | 0.0000 |
| No log | 4.9942 | 432 | 1.1099 | 0.5611 | 0.0000 |
| 1.4707 | 6.0 | 519 | 0.9946 | 0.5913 | 0.0000 |
| 1.4707 | 6.9942 | 605 | 0.8987 | 0.6406 | 1e-05 |
| 1.4707 | 8.0 | 692 | 0.8116 | 0.6910 | 0.0000 |
| 1.4707 | 8.9942 | 778 | 0.7320 | 0.7265 | 0.0000 |
| 1.4707 | 10.0 | 865 | 0.6655 | 0.7655 | 0.0000 |
| 1.4707 | 10.9942 | 951 | 0.6296 | 0.7802 | 0.0000 |
| 0.7266 | 12.0 | 1038 | 0.5789 | 0.8028 | 0.0000 |
| 0.7266 | 12.9942 | 1124 | 0.5481 | 0.8202 | 0.0000 |
| 0.7266 | 14.0 | 1211 | 0.4914 | 0.8420 | 0.0000 |
| 0.7266 | 14.9942 | 1297 | 0.4787 | 0.8476 | 0.0000 |
| 0.7266 | 16.0 | 1384 | 0.4776 | 0.8510 | 0.0000 |
| 0.7266 | 16.9942 | 1470 | 0.4633 | 0.8554 | 0.0000 |
| 0.3466 | 18.0 | 1557 | 0.4627 | 0.8547 | 5e-07 |
| 0.3466 | 18.9942 | 1643 | 0.4617 | 0.8549 | 1e-07 |
| 0.3466 | 19.8844 | 1720 | 0.4621 | 0.8546 | 0.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 8, 2024
- Updated
- Nov 8, 2024