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--- |
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library_name: transformers |
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language: |
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- en |
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base_model: gokulsrinivasagan/distilbert_lda_5_v1 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- spearmanr |
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model-index: |
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- name: distilbert_lda_5_v1_stsb |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: GLUE STSB |
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type: glue |
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args: stsb |
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metrics: |
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- name: Spearmanr |
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type: spearmanr |
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value: 0.771403455042343 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# distilbert_lda_5_v1_stsb |
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This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE STSB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9149 |
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- Pearson: 0.7745 |
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- Spearmanr: 0.7714 |
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- Combined Score: 0.7730 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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- seed: 10 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:| |
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| 2.4726 | 1.0 | 23 | 1.7690 | 0.5073 | 0.5038 | 0.5056 | |
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| 1.3012 | 2.0 | 46 | 1.3896 | 0.7004 | 0.7125 | 0.7064 | |
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| 0.8284 | 3.0 | 69 | 0.9456 | 0.7721 | 0.7714 | 0.7718 | |
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| 0.5881 | 4.0 | 92 | 0.9819 | 0.7670 | 0.7671 | 0.7670 | |
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| 0.4537 | 5.0 | 115 | 0.9149 | 0.7745 | 0.7714 | 0.7730 | |
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| 0.3479 | 6.0 | 138 | 1.1078 | 0.7723 | 0.7729 | 0.7726 | |
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| 0.2723 | 7.0 | 161 | 0.9508 | 0.7747 | 0.7725 | 0.7736 | |
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| 0.2507 | 8.0 | 184 | 0.9537 | 0.7685 | 0.7651 | 0.7668 | |
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| 0.2101 | 9.0 | 207 | 1.0716 | 0.7639 | 0.7611 | 0.7625 | |
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| 0.1713 | 10.0 | 230 | 1.0893 | 0.7716 | 0.7719 | 0.7718 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.2.1+cu118 |
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- Datasets 2.17.0 |
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- Tokenizers 0.20.3 |
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