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ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold3 – AI Model by genki10 | AlphaNeural AI
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ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold3
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold3
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 9.9667
Qwk: 0.0065
Mse: 9.9660
Rmse: 3.1569
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Qwk
Mse
Rmse
No log
0.5
2
10.8576
0.0170
10.8568
3.2950
No log
1.0
4
9.9667
0.0065
9.9660
3.1569
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
