Downloads · 30 days
15
2% of all-time downloads
hier-bert-i3-mlm
igorktech/hier-bert-i3-mlm
hier-bert-i3-mlm is a fill-mask model from igorktech. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
734
Public
Parameters
35.9M
862 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin143 MB · 49%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- hierarchical-bert
- Access
- Public
- Created
- Oct 7, 2023
- Updated
- Oct 12, 2025
- SHA
- 7768e7f4
Try a prompt
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. -->
hier-bert-i3-mlm2
This model is a fine-tuned version of HierBert on an English version of OpenSubtitles dataset. It achieves the following results on the evaluation set:
- Loss: 2.2929
- Accuracy: 0.5612
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: 0.001
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.5
- training_steps: 50000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9488 | 1.55 | 25000 | 2.7667 | 0.4935 |
| 2.4233 | 3.1 | 50000 | 2.2922 | 0.5612 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- hierarchical-bert
- Created
- Oct 7, 2023
- Updated
- Oct 12, 2025