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cf-albert-finetuned1 – AI Model by mrfire15 | AlphaNeural AI
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mrfire15
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cf-albert-finetuned1
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transformers
tensorboard
safetensors
albert
text-classification
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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cf-albert-finetuned1
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4513
F1: 0.2897
Roc Auc: 0.5790
Accuracy: 0.0826
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
Accuracy
0.4712
1.0
908
0.4797
0.0104
0.5024
0.0055
0.4862
2.0
1816
0.4579
0.2726
0.5727
0.0936
0.4447
3.0
2724
0.4438
0.3161
0.5899
0.1101
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
