Downloads · 30 days
9
20% of all-time downloads
tinybert_base_train_book_ent_15p_s_init_kd_complete_sst2
gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete_sst2
tinybert_base_train_book_ent_15p_s_init_kd_complete_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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
45
Public
Parameters
28.8M
690 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors115 MB · 99%
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
- d088911e
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. -->
tinybert_base_train_book_ent_15p_s_init_kd_complete_sst2
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3645
- Accuracy: 0.8601
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 |
|---|---|---|---|---|
| 0.3388 | 1.0 | 264 | 0.3645 | 0.8601 |
| 0.2201 | 2.0 | 528 | 0.3685 | 0.8612 |
| 0.1649 | 3.0 | 792 | 0.4037 | 0.8612 |
| 0.1329 | 4.0 | 1056 | 0.4017 | 0.8761 |
| 0.1088 | 5.0 | 1320 | 0.3973 | 0.875 |
| 0.094 | 6.0 | 1584 | 0.4348 | 0.8658 |
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