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bert-base-multilingual-cased-fire-classification-silvanus – AI Model by rollerhafeezh-amikom | AlphaNeural AI
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bert-base-multilingual-cased-fire-classification-silvanus
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
id
en
es
it
sk
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-multilingual-cased-fire-classification-silvanus
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3171
Accuracy: 0.9185
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: 8
eval_batch_size: 8
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
Accuracy
No log
1.0
233
0.2618
0.9056
No log
2.0
466
0.2923
0.9142
0.3256
3.0
699
0.3171
0.9185
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
