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bert_tiny_lda_mrpc
gokulsrinivasagan/bert_tiny_lda_mrpc
bert_tiny_lda_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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024
- SHA
- b9b88c87
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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. -->
bert_tiny_lda_mrpc
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5813
- Accuracy: 0.6912
- F1: 0.8067
- Combined Score: 0.7490
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 |
|---|---|---|---|---|---|---|
| 0.6373 | 1.0 | 15 | 0.6101 | 0.6838 | 0.8122 | 0.7480 |
| 0.6076 | 2.0 | 30 | 0.6006 | 0.6814 | 0.7917 | 0.7365 |
| 0.5784 | 3.0 | 45 | 0.5813 | 0.6912 | 0.8067 | 0.7490 |
| 0.5573 | 4.0 | 60 | 0.5932 | 0.6691 | 0.7644 | 0.7168 |
| 0.5109 | 5.0 | 75 | 0.6034 | 0.6446 | 0.7339 | 0.6893 |
| 0.4618 | 6.0 | 90 | 0.6813 | 0.6201 | 0.6751 | 0.6476 |
| 0.4486 | 7.0 | 105 | 0.7275 | 0.6912 | 0.8043 | 0.7478 |
| 0.3704 | 8.0 | 120 | 0.6932 | 0.6789 | 0.7745 | 0.7267 |
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
- Dec 4, 2024
- Updated
- Dec 4, 2024