base_emotion_0415 – AI Model by LaoLaoFish | AlphaNeural AI

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LaoLaoFish/
base_emotion_0415

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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base_emotion_0415

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: 0.1231
Accuracy: 0.9555
F1: 0.9553
Precision:: 0.9564
Recall: 0.9555

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: 128
eval_batch_size: 128
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	F1	Precision:	Recall
0.1195	1.0	569	0.1104	0.9551	0.9548	0.9566	0.9551
0.1016	2.0	1138	0.1108	0.9557	0.9554	0.9569	0.9557
0.0946	3.0	1707	0.1156	0.9575	0.9573	0.9588	0.9574
0.0898	4.0	2276	0.1175	0.9560	0.9558	0.9570	0.9560
0.0839	5.0	2845	0.1231	0.9555	0.9553	0.9564	0.9555

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2