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bert_classification_persian_emotion – AI Model by mansoorhamidzadeh | AlphaNeural AI
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bert_classification_persian_emotion
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transformers
safetensors
bert
text-classification
persian
fa
tookabert
classification
persian_bert
SeyedAli/Persian-Text-Emotion
PartAI/TookaBERT-Base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert_classification_persian_emotion
This model is a fine-tuned version of
PartAI/TookaBERT-Base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4380
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: 8
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_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.4802
1.0
695
0.4607
0.2808
2.0
1390
0.4024
0.177
3.0
2085
0.4380
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
