Downloads · 30 days
5
16% of all-time downloads
bert_tiny_lda
gokulsrinivasagan/bert_tiny_lda
bert_tiny_lda is a machine learning model from gokulsrinivasagan. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
31
Public
Parameters
33.3M
532 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors133 MB · 99%
At a glance
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Nov 15, 2024
- Updated
- Nov 15, 2024
- SHA
- dcb071a5
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. -->
bert_tiny_lda
This model is a fine-tuned version of on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld dataset. It achieves the following results on the evaluation set:
- Loss: 6.9596
- Accuracy: 0.2609
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: 0.0001
- train_batch_size: 160
- eval_batch_size: 160
- seed: 10
- 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
- lr_scheduler_warmup_steps: 10000
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 8.4286 | 6.9979 | 10000 | 8.3618 | 0.1539 |
| 7.8737 | 13.9958 | 20000 | 7.7780 | 0.1624 |
| 7.1899 | 20.9937 | 30000 | 7.0098 | 0.2534 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.2.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
- Library
- transformers
- Type
- distilbert
- Created
- Nov 15, 2024
- Updated
- Nov 15, 2024