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tinybert_train_book_ent_15p_mid_qnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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tinybert_train_book_ent_15p_mid_qnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/tinybert_train_book_ent_15p_mid
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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tinybert_train_book_ent_15p_mid_qnli
This model is a fine-tuned version of
gokulsrinivasagan/tinybert_train_book_ent_15p_mid
on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6574
Accuracy: 0.6066
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: 256
eval_batch_size: 256
seed: 10
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: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6751
1.0
410
0.6574
0.6066
0.6431
2.0
820
0.6647
0.5984
0.6126
3.0
1230
0.6791
0.5966
0.5792
4.0
1640
0.7277
0.5942
0.5377
5.0
2050
0.7904
0.5794
0.4859
6.0
2460
0.8294
0.5689
Framework versions
Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
