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my-tiny-bert-model – AI Model by jusiwoo | AlphaNeural AI | AlphaNeural AI
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my-tiny-bert-model
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transformers
safetensors
bert
text-classification
generated_from_trainer
prajjwal1/bert-tiny
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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my-tiny-bert-model
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: 0.5749
Accuracy: 0.7008
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: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6442
1.0
534
0.6283
0.6651
0.6367
2.0
1068
0.5866
0.6923
0.5828
3.0
1602
0.5749
0.7008
Framework versions
Transformers 5.2.0
Pytorch 2.5.1+cu121
Datasets 4.5.0
Tokenizers 0.22.2
