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bert_tiny_olda_book_5_v1_wnli – AI Model by gokulsrinivasagan | AlphaNeural AI
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gokulsrinivasagan
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bert_tiny_olda_book_5_v1_wnli
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
gokulsrinivasagan/bert_tiny_olda_book_5_v1
finetune
model-index
autotrain_compatible
endpoints_compatible
us
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bert_tiny_olda_book_5_v1_wnli
This model is a fine-tuned version of
gokulsrinivasagan/bert_tiny_olda_book_5_v1
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.6947
Accuracy: 0.5352
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 OptimizerNames.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
0.7023
1.0
3
0.6947
0.5352
0.697
2.0
6
0.6985
0.5352
0.6919
3.0
9
0.7052
0.4789
0.6945
4.0
12
0.7117
0.4085
0.6931
5.0
15
0.7164
0.3662
0.6876
6.0
18
0.7191
0.3380
Framework versions
Transformers 4.46.1
Pytorch 2.2.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1
