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tiny-bert-sst2-distilled – AI Model by lindeberg | AlphaNeural AI
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tiny-bert-sst2-distilled
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transformers
pytorch
bert
text-classification
generated_from_trainer
glue
google/bert_uncased_L-2_H-128_A-2
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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tiny-bert-sst2-distilled
This model is a fine-tuned version of
google/bert_uncased_L-2_H-128_A-2
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 1.2916
Accuracy: 0.8039
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: 6.478952479475704e-05
train_batch_size: 128
eval_batch_size: 128
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.8025
1.0
527
1.3940
0.7901
1.1308
2.0
1054
1.2916
0.8039
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
