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bert-tiny-llm-router – AI Model by m-misiura-rh | AlphaNeural AI
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m-misiura-rh
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bert-tiny-llm-router
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
prajjwal1/bert-tiny
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bert-tiny-llm-router
This model is a fine-tuned version of
prajjwal1/bert-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3833
F1: 0.8960
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.5698
1.0
479
0.5538
0.8566
0.4957
2.0
958
0.4610
0.8923
0.4514
3.0
1437
0.4140
0.8953
0.4329
4.0
1916
0.3903
0.8958
0.4358
4.9910
2390
0.3833
0.8960
Framework versions
Transformers 4.51.3
Pytorch 2.7.0
Datasets 3.1.0
Tokenizers 0.21.1
