README.md

metadata

library_name: transformers
language:
  - en
base_model: gokulsrinivasagan/bert_base_lda_50_v1
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: bert_base_lda_50_v1_stsb
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metrics:
          - name: Spearmanr
            type: spearmanr
            value: .nan

bert_base_lda_50_v1_stsb

This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_50_v1 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• Loss: 2.2730
• 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: 0.001
• train_batch_size: 256
• eval_batch_size: 256
• seed: 10
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
6.0649	1.0	23	2.3650	nan	nan	nan
2.2353	2.0	46	2.9028	nan	nan	nan
2.2088	3.0	69	2.2730	nan	nan	nan
2.2442	4.0	92	2.3650	nan	nan	nan
2.186	5.0	115	2.5441	nan	nan	nan
2.2071	6.0	138	2.3354	nan	nan	nan
2.1952	7.0	161	2.5613	nan	nan	nan
2.1895	8.0	184	2.6158	nan	nan	nan

Framework versions

• Transformers 4.46.3
• Pytorch 2.2.1+cu118
• Datasets 2.17.0
• Tokenizers 0.20.3