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multibert2809_scrambled – AI Model by Tommert25 | AlphaNeural AI
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multibert2809_scrambled
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transformers
pytorch
bert
token-classification
generated_from_trainer
google-bert/bert-base-multilingual-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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multibertfinetuned2809
This model is a fine-tuned version of
bert-base-multilingual-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3581
Precision: 0.7138
Recall: 0.6758
F1: 0.6943
Accuracy: 0.8902
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
118
0.3829
0.6730
0.6396
0.6559
0.8765
No log
2.0
236
0.3581
0.7138
0.6758
0.6943
0.8902
No log
3.0
354
0.3619
0.7362
0.7104
0.7230
0.8983
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
