Downloads · 30 days
8
14% of all-time downloads
BulBERT-ct21-5pochs
mor40/BulBERT-ct21-5pochs
BulBERT-ct21-5pochs is a text classification model from mor40. 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. --
All-time downloads
57
Public
Repo size
2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin329 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 21, 2023
- Updated
- Oct 21, 2023
- SHA
- 8f53db82
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. -->
BulBERT-ct21-5pochs
This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the bgglue dataset. It achieves the following results on the evaluation set:
- Loss: 1.0051
- Accuracy: 0.84
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 163 | 0.4891 | 0.7743 |
| No log | 2.0 | 326 | 0.5475 | 0.8257 |
| No log | 3.0 | 489 | 0.7889 | 0.82 |
| 0.288 | 4.0 | 652 | 0.9438 | 0.8286 |
| 0.288 | 5.0 | 815 | 1.0051 | 0.84 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 21, 2023
- Updated
- Oct 21, 2023