16class_combo_111123_vthout_pp_tweet – AI Model by dsmsb | AlphaNeural AI

You can deploy this model and start earning money today!

dsmsb/
16class_combo_111123_vthout_pp_tweet

like

0

text-classification

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

16class_combo_111123_vthout_pp_tweet

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

Loss: 0.1399
Accuracy: 0.9595

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: 1e-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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	494	0.8411	0.7784
1.519	2.0	988	0.4959	0.8637
0.7315	3.0	1482	0.3370	0.9077
0.4973	4.0	1976	0.2599	0.9292
0.3755	5.0	2470	0.2055	0.9425
0.2998	6.0	2964	0.1649	0.9521
0.2492	7.0	3458	0.1491	0.9569
0.2062	8.0	3952	0.1399	0.9595

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1