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bert-base-multilingual-HeQ-v1 – AI Model by Etelis | AlphaNeural AI
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Etelis
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bert-base-multilingual-HeQ-v1
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transformers
pytorch
bert
question-answering
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
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bert-base-multilingual-HeQ-v1
This model is a fine-tuned version of
bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5446
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: 7
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
425
1.4346
1.9738
2.0
850
1.3225
1.2467
3.0
1275
1.3464
0.972
4.0
1700
1.3826
0.7828
5.0
2125
1.4196
0.6579
6.0
2550
1.5044
0.6579
7.0
2975
1.5446
Framework versions
Transformers 4.33.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
