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tinybert_base_train_book_ent_15p_lda_sst2
gokulsrinivasagan/tinybert_base_train_book_ent_15p_lda_sst2
tinybert_base_train_book_ent_15p_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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 84c9af69
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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. -->
tinybert_base_train_book_ent_15p_lda_sst2
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_lda on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4237
- Accuracy: 0.8096
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 |
|---|---|---|---|---|
| 0.442 | 1.0 | 264 | 0.4237 | 0.8096 |
| 0.2514 | 2.0 | 528 | 0.4478 | 0.8234 |
| 0.1936 | 3.0 | 792 | 0.4747 | 0.8165 |
| 0.1587 | 4.0 | 1056 | 0.4941 | 0.8360 |
| 0.1334 | 5.0 | 1320 | 0.5488 | 0.8234 |
| 0.1117 | 6.0 | 1584 | 0.6357 | 0.8073 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025