cf-albert-finetuned-r – AI Model by vamshi0317 | AlphaNeural AI

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vamshi0317/
cf-albert-finetuned-r

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text-classification

generated_from_trainer

albert/albert-base-v2

autotrain_compatible

endpoints_compatible

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cf-albert-finetuned-r

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: 0.3186
F1: 0.5898
Roc Auc: 0.7274
Accuracy: 0.3236

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3895	1.0	447	0.3961	0.3962	0.6235	0.1355
0.3376	2.0	894	0.3523	0.4849	0.6657	0.2251
0.3197	3.0	1341	0.3389	0.5504	0.7025	0.2654
0.2766	4.0	1788	0.3367	0.5783	0.7205	0.2744
0.2308	5.0	2235	0.3357	0.5770	0.7204	0.2833

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1