new_to_return_with_new_gold_1

langyatest/new_to_return_with_new_gold_1

new_to_return_with_new_gold_1 is a text classification model from langyatest. 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: Jul 18, 2024
Updated: Jul 18, 2024
SHA: d02dcde8

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Base models

google-bert/bert-base-cased

Model card

From the Hugging Face model README

new_to_return_with_new_gold_1

This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2285
Accuracy: 0.4406

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	115	1.0369	0.5
No log	2.0	230	1.0406	0.4880
No log	3.0	345	1.0781	0.4690
No log	4.0	460	1.1507	0.4586
0.9593	5.0	575	1.2285	0.4406

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 18, 2024
Updated: Jul 18, 2024