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bert-base-cased-bn-adapter-895K-snli-model2 – AI Model by varun-v-rao | AlphaNeural AI
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varun-v-rao
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bert-base-cased-bn-adapter-895K-snli-model2
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tensorboard
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
us
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bert-base-cased-bn-adapter-895K-snli-model2
This model is a fine-tuned version of
bert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8392
Accuracy: 0.6865
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: 64
eval_batch_size: 64
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5125
1.0
8584
0.4403
0.8329
0.4659
2.0
17168
0.4000
0.8463
0.4495
3.0
25752
0.3917
0.8503
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
