Downloads · 30 days
4
11% of all-time downloads
distilbert_base_lda_sst2
gokulsrinivasagan/distilbert_base_lda_sst2
distilbert_base_lda_sst2 is a text classification model from gokulsrinivasagan. 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
37
Public
Parameters
67M
1.9 GB 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
- Model type
- distilbert
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- a893233c
Try a prompt
Base models
Datasets
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_lda_sst2
This model is a fine-tuned version of gokulsrinivasagan/distilbert_base_lda on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4276
- Accuracy: 0.8349
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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3624 | 1.0 | 264 | 0.4391 | 0.8257 |
| 0.2028 | 2.0 | 528 | 0.4276 | 0.8349 |
| 0.1384 | 3.0 | 792 | 0.5493 | 0.8234 |
| 0.1002 | 4.0 | 1056 | 0.5142 | 0.8314 |
| 0.0757 | 5.0 | 1320 | 0.5459 | 0.8406 |
| 0.0591 | 6.0 | 1584 | 0.6281 | 0.8349 |
| 0.0458 | 7.0 | 1848 | 0.6348 | 0.8475 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024