bert-base-uncased-finetuned-imdb-sentiment – AI Model by erikdj | AlphaNeural AI

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erikdj/
bert-base-uncased-finetuned-imdb-sentiment

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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results_bert

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

Loss: 0.2509
Accuracy: 0.9428
Precision: 0.9406
Recall: 0.9453
F1: 0.9429

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2409	1.0	1563	0.2302	0.9120	0.9635	0.8566	0.9069
0.1351	2.0	3126	0.2285	0.9312	0.9618	0.898	0.9288
0.0595	3.0	4689	0.2509	0.9428	0.9406	0.9453	0.9429

Framework versions

Transformers 4.56.2
Pytorch 2.8.0+cu129
Datasets 4.1.1
Tokenizers 0.22.1