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bert-base-uncased-finetuned-iemocap7 – AI Model by Zahra99 | AlphaNeural AI
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Zahra99
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bert-base-uncased-finetuned-iemocap7
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-iemocap7
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9200
Accuracy: 0.6712
F1: 0.6795
It achieves the following results on the test set:
Loss: 0.9468
Accuracy: 0.67
F1: 0.673
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: 4.319412088241492e-05
train_batch_size: 64
eval_batch_size: 32
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
No log
1.0
51
1.0573
0.5412
0.5456
1.036
2.0
102
0.9216
0.6188
0.6267
1.036
3.0
153
0.9002
0.6625
0.6681
0.4819
4.0
204
0.8928
0.6663
0.6731
0.4819
5.0
255
0.9200
0.6712
0.6795
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
