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tinybert_train_book_ent_15p_ra_wnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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tinybert_train_book_ent_15p_ra_wnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/tinybert_train_book_ent_15p_ra
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
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tinybert_train_book_ent_15p_ra_wnli
This model is a fine-tuned version of
gokulsrinivasagan/tinybert_train_book_ent_15p_ra
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6985
Accuracy: 0.4648
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
0.7051
1.0
3
0.6985
0.4648
0.7072
2.0
6
0.7017
0.5634
0.6948
3.0
9
0.7347
0.3380
0.6951
4.0
12
0.7349
0.3239
0.6937
5.0
15
0.7232
0.3803
0.6915
6.0
18
0.7271
0.3380
Framework versions
Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
