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bert-mini-mlm-finetuned-emotion – AI Model by muhtasham | AlphaNeural AI
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muhtasham
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bert-mini-mlm-finetuned-emotion
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transformers
pytorch
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-mini-mlm-finetuned-emotion
This model is a fine-tuned version of
google/bert_uncased_L-4_H-256_A-4
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0041
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: 3e-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: constant
num_epochs: 200
Training results
Training Loss
Epoch
Step
Validation Loss
3.3034
22.73
500
3.0423
3.0612
45.45
1000
3.0242
2.9507
68.18
1500
2.9806
2.8609
90.91
2000
3.0442
2.7887
113.64
2500
3.0179
2.7104
136.36
3000
3.0041
Framework versions
Transformers 4.25.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
