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bert-fine-tuned-cola – AI Model by akashVP | AlphaNeural AI
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akashVP
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bert-fine-tuned-cola
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transformers
safetensors
bert
text-classification
generated_from_trainer
en
google-bert/bert-base-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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bert-fine-tuned-cola
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7694
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.4548
1.0
1069
0.4652
0.3196
2.0
2138
0.5452
0.199
3.0
3207
0.7694
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1