IMDB_Sentiment – AI Model by sharmax-vikas | AlphaNeural AI

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sharmax-vikas/
IMDB_Sentiment

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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results

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

Loss: 0.3875

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: 0.002
train_batch_size: 32
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5455	1.0	782	0.4385
0.4874	2.0	1564	0.4432
0.4862	3.0	2346	0.4612
0.4723	4.0	3128	0.4084
0.4641	5.0	3910	0.4454
0.4655	6.0	4692	0.3979
0.4609	7.0	5474	0.3867
0.4551	8.0	6256	0.3876
0.4546	9.0	7038	0.3835
0.4525	10.0	7820	0.3875

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1