Downloads · 30 days
11
10% of all-time downloads
dist-multi
theunmans/dist-multi
dist-multi is a machine learning model from theunmans. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
110
Public
Parameters
135M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors541 MB · 99%
At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 6, 2024
- SHA
- f68f135b
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. -->
dist-multi
This model is a fine-tuned version of sentence-transformers/distiluse-base-multilingual-cased-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7490
- Accuracy: 0.75
- F1: 0.7607
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5809 | 1.0 | 53 | 0.8387 | 0.7429 | 0.7459 |
| 0.561 | 2.0 | 106 | 0.8021 | 0.75 | 0.7570 |
| 0.4435 | 3.0 | 159 | 0.7750 | 0.7643 | 0.7710 |
| 0.3245 | 4.0 | 212 | 0.7490 | 0.75 | 0.7607 |
| 0.368 | 5.0 | 265 | 0.8127 | 0.75 | 0.7548 |
| 0.1861 | 6.0 | 318 | 0.8736 | 0.7429 | 0.7514 |
| 0.2235 | 7.0 | 371 | 0.9631 | 0.7429 | 0.7502 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 6, 2024
- Updated
- Aug 6, 2024