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ASAP_FineTuningBERT_AugV5_k10_task1_organization_fold1 – AI Model by genki10 | AlphaNeural AI
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ASAP_FineTuningBERT_AugV5_k10_task1_organization_fold1
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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_fold1
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: 10.2174
Qwk: 0.0014
Mse: 10.2150
Rmse: 3.1961
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
12.8725
0.0
12.8696
3.5874
No log
0.5
4
11.5951
-0.0000
11.5923
3.4048
No log
0.75
6
10.6501
0.0057
10.6476
3.2631
No log
1.0
8
10.2174
0.0014
10.2150
3.1961
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
