Downloads · 30 days
6
2% of all-time downloads
distilbert-bilstm-mla-emotion-small-data
TimLupus/distilbert-bilstm-mla-emotion-small-data
distilbert-bilstm-mla-emotion-small-data is a machine learning model from TimLupus. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
388
Public
Parameters
76.4M
13.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors306 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Apr 25, 2026
- SHA
- d6df72d0
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-bilstm-mla-emotion-small-data
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: 0.1746
- Accuracy: 0.926
- F1: 0.9263
- Precision: 0.8978
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 1.0652 | 1.0 | 250 | 0.4916 | 0.851 | 0.8410 | 0.8514 |
| 0.3696 | 2.0 | 500 | 0.2443 | 0.919 | 0.9184 | 0.9030 |
| 0.2177 | 3.0 | 750 | 0.2109 | 0.924 | 0.9250 | 0.8826 |
| 0.1689 | 4.0 | 1000 | 0.1872 | 0.929 | 0.9291 | 0.9034 |
| 0.1457 | 5.0 | 1250 | 0.1757 | 0.9265 | 0.9268 | 0.8926 |
| 0.1335 | 6.0 | 1500 | 0.1746 | 0.926 | 0.9263 | 0.8978 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 28, 2026
- Updated
- Apr 25, 2026