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boolq_finetuned – AI Model by sophiaqho | AlphaNeural AI
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sophiaqho
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boolq_finetuned
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
SG1123/boolq_model_v2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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boolq_finetuned
This model is a fine-tuned version of
SG1123/boolq_model_v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1470
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
18
0.1415
No log
2.0
36
0.1653
No log
3.0
54
0.1687
No log
4.0
72
0.1677
No log
5.0
90
0.1470
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
