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bert-lora-yelp-sentiment – AI Model by zzplus1 | AlphaNeural AI
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zzplus1
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bert-lora-yelp-sentiment
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peft
safetensors
adapter
lora
transformers
google-bert/bert-base-cased
adapter
apache-2.0
us
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yelp_lora_output
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: 1.0541
Accuracy: 0.519
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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
Accuracy
1.4661
1.0
125
1.4022
0.373
1.0935
2.0
250
1.0773
0.514
1.2359
3.0
375
1.0541
0.519
Framework versions
PEFT 0.17.1
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.2.0
Tokenizers 0.22.1
