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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_50_v1_book |
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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_50_v1_book_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: 0.8025650669509531 |
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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_50_v1_book_stsb |
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This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_50_v1_book](https://huggingface.co/gokulsrinivasagan/distilbert_lda_50_v1_book) on the GLUE STSB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7989 |
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- Pearson: 0.8047 |
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- Spearmanr: 0.8026 |
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- Combined Score: 0.8036 |
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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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| 2.7588 | 1.0 | 23 | 2.3855 | 0.2412 | 0.2400 | 0.2406 | |
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| 1.3932 | 2.0 | 46 | 1.0838 | 0.7225 | 0.7294 | 0.7260 | |
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| 0.8739 | 3.0 | 69 | 0.9564 | 0.7766 | 0.7839 | 0.7803 | |
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| 0.6995 | 4.0 | 92 | 1.0132 | 0.7843 | 0.7951 | 0.7897 | |
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| 0.5789 | 5.0 | 115 | 0.7989 | 0.8047 | 0.8026 | 0.8036 | |
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| 0.4663 | 6.0 | 138 | 0.9842 | 0.7990 | 0.8045 | 0.8017 | |
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| 0.3577 | 7.0 | 161 | 0.8651 | 0.8077 | 0.8095 | 0.8086 | |
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| 0.2967 | 8.0 | 184 | 0.8846 | 0.8140 | 0.8160 | 0.8150 | |
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| 0.2521 | 9.0 | 207 | 0.8503 | 0.8081 | 0.8117 | 0.8099 | |
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| 0.2194 | 10.0 | 230 | 0.9103 | 0.8183 | 0.8194 | 0.8188 | |
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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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