bert-base-uncased-emotions-augmented – AI Model by gabrielsgaspar | AlphaNeural AI

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gabrielsgaspar/
bert-base-uncased-emotions-augmented

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-uncased-emotions-augmented

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: 0.9815
Accuracy: 0.7539
F1: 0.7506

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: 64
eval_batch_size: 64
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	F1
0.8475	1.0	819	0.6336	0.7655	0.7651
0.5594	2.0	1638	0.6109	0.7695	0.7680
0.4596	3.0	2457	0.6528	0.7601	0.7556
0.3663	4.0	3276	0.6992	0.7631	0.7612
0.2809	5.0	4095	0.7773	0.7571	0.7542
0.2142	6.0	4914	0.8879	0.7541	0.7504
0.1671	7.0	5733	0.9476	0.7552	0.7517
0.1416	8.0	6552	0.9815	0.7539	0.7506

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1