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distilbert_lda_5_v1_book_mnli
gokulsrinivasagan/distilbert_lda_5_v1_book_mnli
distilbert_lda_5_v1_book_mnli 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 9, 2024
- Updated
- Dec 9, 2024
- SHA
- 2467f1bf
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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. -->
distilbert_lda_5_v1_book_mnli
This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_5_v1_book on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.5257
- Accuracy: 0.7882
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 OptimizerNames.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 |
|---|---|---|---|---|
| 0.6871 | 1.0 | 1534 | 0.5890 | 0.7597 |
| 0.5082 | 2.0 | 3068 | 0.5362 | 0.7858 |
| 0.4006 | 3.0 | 4602 | 0.5621 | 0.7894 |
| 0.3094 | 4.0 | 6136 | 0.6176 | 0.7918 |
| 0.2381 | 5.0 | 7670 | 0.6732 | 0.7873 |
| 0.1841 | 6.0 | 9204 | 0.7931 | 0.7833 |
| 0.1471 | 7.0 | 10738 | 0.8370 | 0.7870 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.2.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Dec 9, 2024
- Updated
- Dec 9, 2024