Downloads · 30 days
7
2% of all-time downloads
distil-bert-tweaking
pilotj/distil-bert-tweaking
distil-bert-tweaking is a text classification model from pilotj. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
318
Public
Parameters
67M
5.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt536 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Sep 28, 2024
- Updated
- Sep 28, 2024
- SHA
- adbe1c3f
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-tweaking
This model is a fine-tuned version of pilotj/distilbert-base-uncased-fibe-full-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4871
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: 8e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3542 | 0.1905 | 500 | 0.4708 |
| 0.418 | 0.3810 | 1000 | 0.4670 |
| 0.4303 | 0.5714 | 1500 | 0.4833 |
| 0.4404 | 0.7619 | 2000 | 0.5177 |
| 0.4589 | 0.9524 | 2500 | 0.5050 |
| 0.3911 | 1.1429 | 3000 | 0.5887 |
| 0.3654 | 1.3333 | 3500 | 0.5227 |
| 0.3415 | 1.5238 | 4000 | 0.5158 |
| 0.3284 | 1.7143 | 4500 | 0.5228 |
| 0.3178 | 1.9048 | 5000 | 0.4871 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Sep 28, 2024
- Updated
- Sep 28, 2024