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kin-mbert-focal – AI Model by jaycentg | AlphaNeural AI
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kin-mbert-focal
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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kin-mbert-focal
This model is a fine-tuned version of
google-bert/bert-base-multilingual-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 10.2251
F1-micro: 0.3191
F1-macro: 0.3325
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: 32
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: 24
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1-micro
F1-macro
81.9043
1.0
62
10.5689
0.3084
0.3375
76.6741
2.0
124
10.3036
0.3199
0.3327
74.3509
3.0
186
10.2323
0.3144
0.3247
72.7412
4.0
248
10.2251
0.3191
0.3325
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1