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bert_tiny_lda_50_v1_mrpc
gokulsrinivasagan/bert_tiny_lda_50_v1_mrpc
bert_tiny_lda_50_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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Dec 4, 2024
- SHA
- 466f4728
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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_50_v1_mrpc
This model is a fine-tuned version of gokulsrinivasagan/bert_tiny_lda_50_v1 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5904
- Accuracy: 0.6985
- F1: 0.7947
- Combined Score: 0.7466
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 |
|---|---|---|---|---|---|---|
| 0.6338 | 1.0 | 15 | 0.6049 | 0.6814 | 0.8099 | 0.7457 |
| 0.5986 | 2.0 | 30 | 0.5936 | 0.7010 | 0.8 | 0.7505 |
| 0.5748 | 3.0 | 45 | 0.5904 | 0.6985 | 0.7947 | 0.7466 |
| 0.5412 | 4.0 | 60 | 0.5998 | 0.6961 | 0.8000 | 0.7480 |
| 0.4877 | 5.0 | 75 | 0.6446 | 0.6765 | 0.7763 | 0.7264 |
| 0.4081 | 6.0 | 90 | 0.7323 | 0.625 | 0.7172 | 0.6711 |
| 0.3099 | 7.0 | 105 | 0.8169 | 0.6716 | 0.7781 | 0.7249 |
| 0.3068 | 8.0 | 120 | 0.9501 | 0.6691 | 0.7881 | 0.7286 |
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