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bert_tiny_lda_100_v1
gokulsrinivasagan/bert_tiny_lda_100_v1
bert_tiny_lda_100_v1 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. --
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At a glance
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Nov 23, 2024
- Updated
- Nov 24, 2024
- SHA
- 1ac700a2
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_100_v1
This model is a fine-tuned version of on the gokulsrinivasagan/processed_wikitext-103-raw-v1-ld-100 dataset. It achieves the following results on the evaluation set:
- Loss: 7.8078
- Accuracy: 0.3677
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 |
|---|---|---|---|---|
| 10.7151 | 6.9979 | 10000 | 10.6513 | 0.1546 |
| 9.7707 | 13.9958 | 20000 | 9.6190 | 0.1946 |
| 8.0878 | 20.9937 | 30000 | 7.8520 | 0.3593 |
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 23, 2024
- Updated
- Nov 24, 2024