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---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: hBERTv1_new_pretrain_w_init__stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
config: stsb
split: validation
args: stsb
metrics:
- name: Spearmanr
type: spearmanr
value: 0.08916919703003628
---
<!-- 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. -->
# hBERTv1_new_pretrain_w_init__stsb
This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2584
- Pearson: 0.0949
- Spearmanr: 0.0892
- Combined Score: 0.0920
## 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: 4e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 2.5056 | 1.0 | 45 | 2.2584 | 0.0949 | 0.0892 | 0.0920 |
| 2.1254 | 2.0 | 90 | 2.6871 | 0.1250 | 0.1231 | 0.1241 |
| 1.9839 | 3.0 | 135 | 2.2709 | 0.1790 | 0.1840 | 0.1815 |
| 1.6299 | 4.0 | 180 | 2.5115 | 0.2691 | 0.2797 | 0.2744 |
| 1.3155 | 5.0 | 225 | 2.4555 | 0.3453 | 0.3437 | 0.3445 |
| 0.9686 | 6.0 | 270 | 2.8004 | 0.4571 | 0.4406 | 0.4489 |
### Framework versions
- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
|