metadata

language:
  - en
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: hBERTv1_new_pretrain_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: .nan

hBERTv1_new_pretrain_stsb

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE STSB dataset. It achieves the following results on the evaluation set:

Loss: 11480.3916
Pearson: nan
Spearmanr: nan
Combined Score: nan

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: 0.0005
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
11870.5542	1.0	45	11480.3916	nan	nan	nan
11864.3806	2.0	90	11480.3916	nan	nan	nan
11929.5181	3.0	135	11480.3916	nan	nan	nan
11830.7097	4.0	180	11480.3916	nan	nan	nan
11918.4542	5.0	225	11480.3916	nan	nan	nan
11798.3167	6.0	270	11480.3916	nan	nan	nan

Framework versions

Transformers 4.29.2
Pytorch 1.14.0a0+410ce96
Datasets 2.12.0
Tokenizers 0.13.3