scenario-TCR-data-glue-stsb-model-bert-base-uncased

haryoaw/scenario-TCR-data-glue-stsb-model-bert-base-uncased

scenario-TCR-data-glue-stsb-model-bert-base-uncased is a text classification model from haryoaw. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 1, 2024
Updated: Jan 10, 2024
SHA: 525c5cf7

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Base models

Model card

From the Hugging Face model README

scenario-TCR-data-glue-stsb-model-bert-base-uncased

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4806
Pearson: nan
Spearmanr: 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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6969

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr
No log	1.0	180	0.5620	nan	nan
No log	2.0	360	0.5905	nan	nan
0.606	3.0	540	0.5036	nan	nan
0.606	4.0	720	0.5073	nan	nan
0.606	5.0	900	0.4840	nan	nan
0.1567	6.0	1080	0.4806	nan	nan

Framework versions

Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 1, 2024
Updated: Jan 10, 2024