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guj-eng-code-switch-bert-multilingual-data2 – AI Model by h3110Fr13nd | AlphaNeural AI
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guj-eng-code-switch-bert-multilingual-data2
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
endpoints_compatible
us
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guj-eng-code-switch-bert-multilingual-data2
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: 0.0946
Precision: 0.9270
Recall: 0.9366
F1: 0.9318
Accuracy: 0.9788
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: 16
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0932
1.0
250
0.1081
0.9037
0.9209
0.9122
0.9710
0.0758
2.0
500
0.0907
0.9241
0.9371
0.9306
0.9777
0.0348
3.0
750
0.0946
0.9270
0.9366
0.9318
0.9788
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
