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ASAP_FineTuningBERT_AugV5_k10_task1_organization_fold2 – AI Model by genki10 | AlphaNeural AI
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ASAP_FineTuningBERT_AugV5_k10_task1_organization_fold2
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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_k10_task1_organization_fold2
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: 10.2394
Qwk: 0.0
Mse: 10.2390
Rmse: 3.1998
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
0.25
2
13.1803
0.0
13.1797
3.6304
No log
0.5
4
11.7990
0.0013
11.7985
3.4349
No log
0.75
6
10.7195
0.0053
10.7191
3.2740
No log
1.0
8
10.2394
0.0
10.2390
3.1998
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
