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--- |
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language: |
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- en |
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base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48 |
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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: hBERTv1_new_pretrain_w_init_48_ver2_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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config: stsb |
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split: validation |
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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: 0.12474663100095418 |
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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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# hBERTv1_new_pretrain_w_init_48_ver2_stsb |
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the GLUE STSB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2509 |
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- Pearson: 0.1285 |
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- Spearmanr: 0.1247 |
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- Combined Score: 0.1266 |
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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: 4e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 10 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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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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| 2.3716 | 1.0 | 90 | 2.4198 | 0.1235 | 0.0756 | 0.0995 | |
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| 2.1648 | 2.0 | 180 | 2.4218 | 0.0592 | 0.0606 | 0.0599 | |
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| 2.1915 | 3.0 | 270 | 2.5305 | 0.1143 | 0.0959 | 0.1051 | |
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| 2.1855 | 4.0 | 360 | 2.4912 | 0.1118 | 0.0969 | 0.1043 | |
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| 2.1858 | 5.0 | 450 | 2.3539 | 0.1130 | 0.1043 | 0.1087 | |
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| 2.1818 | 6.0 | 540 | 2.2509 | 0.1285 | 0.1247 | 0.1266 | |
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| 2.2562 | 7.0 | 630 | 2.3302 | 0.1043 | 0.0974 | 0.1009 | |
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| 2.2299 | 8.0 | 720 | 2.3749 | 0.1984 | 0.1422 | 0.1703 | |
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| 2.0676 | 9.0 | 810 | 2.3883 | 0.1300 | 0.1329 | 0.1314 | |
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| 1.926 | 10.0 | 900 | 2.5884 | 0.1259 | 0.1233 | 0.1246 | |
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| 1.7701 | 11.0 | 990 | 2.3776 | 0.1911 | 0.2059 | 0.1985 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 1.14.0a0+410ce96 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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