Downloads · 30 days
8
28% of all-time downloads
dfm_NC
yemen2016/dfm_NC
dfm_NC is a text classification model from yemen2016. 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
29
Public
Parameters
355M
12.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.4 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024
- SHA
- 8714a3e6
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. -->
dfm_NC
This model is a fine-tuned version of KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2386
- F1-score: 0.9231
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: 16
- eval_batch_size: 16
- 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 | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.2541 | 0.9087 |
| No log | 2.0 | 80 | 0.2386 | 0.9231 |
| No log | 3.0 | 120 | 0.2399 | 0.9199 |
| No log | 4.0 | 160 | 0.3668 | 0.9093 |
| No log | 5.0 | 200 | 0.4189 | 0.9093 |
| No log | 6.0 | 240 | 0.6241 | 0.8760 |
| No log | 7.0 | 280 | 0.5370 | 0.9093 |
| No log | 8.0 | 320 | 0.6048 | 0.9025 |
| No log | 9.0 | 360 | 0.6588 | 0.8891 |
| No log | 10.0 | 400 | 0.5380 | 0.9093 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 4, 2024
- Updated
- Jul 4, 2024