boss-sentiment-3000-bert-base-uncased

Kyle1668/boss-sentiment-3000-bert-base-uncased

boss-sentiment-3000-bert-base-uncased is a text classification model from Kyle1668. 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: Nov 6, 2023
Updated: Nov 6, 2023
SHA: 68919a1d

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Base models

Model card

From the Hugging Face model README

boss-sentiment-3000-bert-base-uncased

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

F1: 0.6539
Acc: 0.8012
Loss: 1.0668

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	F1	Acc	Validation Loss
No log	1.0	188	0.5948	0.8309	0.5611
No log	2.0	376	0.6500	0.7876	0.5856
0.6906	3.0	564	0.7083	0.8627	0.3858
0.6906	4.0	752	0.6588	0.7697	0.8185
0.6906	5.0	940	0.6687	0.8142	0.8388
0.1956	6.0	1128	0.6539	0.8012	1.0668

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 6, 2023
Updated: Nov 6, 2023