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distilbert_lda_20_v1_stsb
gokulsrinivasagan/distilbert_lda_20_v1_stsb
distilbert_lda_20_v1_stsb 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
- 810bbf68
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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_20_v1_stsb
This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_20_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 1.1198
- Pearson: 0.7103
- Spearmanr: 0.7053
- Combined Score: 0.7078
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 | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.6069 | 1.0 | 23 | 2.5577 | 0.0992 | 0.0901 | 0.0946 |
| 1.9485 | 2.0 | 46 | 2.0246 | 0.3440 | 0.3293 | 0.3366 |
| 1.5571 | 3.0 | 69 | 1.8556 | 0.5262 | 0.5173 | 0.5217 |
| 1.1401 | 4.0 | 92 | 1.7173 | 0.6608 | 0.6679 | 0.6643 |
| 0.8515 | 5.0 | 115 | 1.3201 | 0.6872 | 0.6864 | 0.6868 |
| 0.6705 | 6.0 | 138 | 1.1198 | 0.7103 | 0.7053 | 0.7078 |
| 0.5621 | 7.0 | 161 | 1.4998 | 0.7028 | 0.7034 | 0.7031 |
| 0.4364 | 8.0 | 184 | 1.2163 | 0.7096 | 0.7050 | 0.7073 |
| 0.3536 | 9.0 | 207 | 1.2738 | 0.7023 | 0.6979 | 0.7001 |
| 0.2951 | 10.0 | 230 | 1.2056 | 0.7176 | 0.7107 | 0.7141 |
| 0.2386 | 11.0 | 253 | 1.2457 | 0.7143 | 0.7099 | 0.7121 |
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