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tinybert_base_train_book_ent_15p_s_init_kd_a_in_mnli
gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_a_in_mnli
tinybert_base_train_book_ent_15p_s_init_kd_a_in_mnli 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 15, 2025
- Updated
- Jun 15, 2025
- SHA
- 0a00f403
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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_s_init_kd_a_in_mnli
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_a_in on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.5797
- Accuracy: 0.7689
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 |
|---|---|---|---|---|
| 0.7553 | 1.0 | 1534 | 0.6701 | 0.7185 |
| 0.6331 | 2.0 | 3068 | 0.6344 | 0.7346 |
| 0.5683 | 3.0 | 4602 | 0.6102 | 0.7510 |
| 0.5167 | 4.0 | 6136 | 0.6083 | 0.7610 |
| 0.4709 | 5.0 | 7670 | 0.5939 | 0.7683 |
| 0.4279 | 6.0 | 9204 | 0.6339 | 0.7626 |
| 0.3889 | 7.0 | 10738 | 0.6529 | 0.7602 |
| 0.3529 | 8.0 | 12272 | 0.6972 | 0.7620 |
| 0.3207 | 9.0 | 13806 | 0.7423 | 0.7602 |
| 0.292 | 10.0 | 15340 | 0.7570 | 0.7589 |
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
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jun 15, 2025
- Updated
- Jun 15, 2025