Downloads · 30 days
6
13% of all-time downloads
bert_base_lda_100_v1_mrpc
gokulsrinivasagan/bert_base_lda_100_v1_mrpc
bert_base_lda_100_v1_mrpc 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. --
All-time downloads
45
Public
Parameters
109M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Dec 4, 2024
- SHA
- a9d9d920
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. -->
bert_base_lda_100_v1_mrpc
This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_100_v1 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5799
- Accuracy: 0.6912
- F1: 0.8062
- Combined Score: 0.7487
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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6665 | 1.0 | 15 | 0.6144 | 0.6667 | 0.7606 | 0.7136 |
| 0.594 | 2.0 | 30 | 0.5915 | 0.7059 | 0.7952 | 0.7506 |
| 0.575 | 3.0 | 45 | 0.5799 | 0.6912 | 0.8062 | 0.7487 |
| 0.5285 | 4.0 | 60 | 0.5993 | 0.7034 | 0.7987 | 0.7511 |
| 0.4277 | 5.0 | 75 | 0.6557 | 0.6765 | 0.7537 | 0.7151 |
| 0.3244 | 6.0 | 90 | 0.8220 | 0.6961 | 0.8025 | 0.7493 |
| 0.2387 | 7.0 | 105 | 0.8552 | 0.6422 | 0.7256 | 0.6839 |
| 0.1466 | 8.0 | 120 | 1.0601 | 0.6691 | 0.7700 | 0.7196 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Nov 26, 2024
- Updated
- Dec 4, 2024