output – AI Model by gosshh | AlphaNeural AI

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output

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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output

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1962
Memory Allocated (gb): 54.03
Max Memory Allocated (gb): 54.47
Total Memory Available (gb): 94.62

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: 128
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: reduce_lr_on_plateau
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Allocated (gb)	Memory Allocated (gb)	Memory Available (gb)
0.2846	1.0	196	0.1962	54.03	54.47	94.62

Framework versions

Transformers 4.40.2
Pytorch 2.3.1a0+git4989238
Datasets 2.19.1
Tokenizers 0.19.1