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ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold0

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ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold0

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: 8.4612
Qwk: 0.0
Mse: 8.4612
Rmse: 2.9088

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	9.3590	0.0	9.3590	3.0593
No log	1.0	4	8.4612	0.0	8.4612	2.9088

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for genki10/ASAP_FineTuningBERT_AugV5_k5_task1_organization_fold0

Base model

google-bert/bert-base-uncased

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