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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/bert_tiny_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: bert_tiny_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: 0.3252056186475298 |
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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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# bert_tiny_lda_5_v1_stsb |
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_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: 2.1159 |
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- Pearson: 0.3380 |
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- Spearmanr: 0.3252 |
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- Combined Score: 0.3316 |
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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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| 3.1149 | 1.0 | 23 | 2.4272 | 0.0847 | 0.0635 | 0.0741 | |
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| 2.029 | 2.0 | 46 | 2.6006 | 0.1105 | 0.0974 | 0.1040 | |
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| 1.8675 | 3.0 | 69 | 2.2648 | 0.2521 | 0.2357 | 0.2439 | |
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| 1.6207 | 4.0 | 92 | 2.1159 | 0.3380 | 0.3252 | 0.3316 | |
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| 1.3084 | 5.0 | 115 | 2.1664 | 0.3564 | 0.3532 | 0.3548 | |
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| 1.0212 | 6.0 | 138 | 2.2510 | 0.3838 | 0.3847 | 0.3843 | |
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| 0.8086 | 7.0 | 161 | 2.1705 | 0.4049 | 0.4059 | 0.4054 | |
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| 0.6441 | 8.0 | 184 | 2.4279 | 0.3792 | 0.3746 | 0.3769 | |
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| 0.5485 | 9.0 | 207 | 2.3964 | 0.3827 | 0.3784 | 0.3805 | |
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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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