hanyuany14
/

bert-finetuned-imdb

Generated from Trainer

Model card Files Files and versions

Metrics Training metrics Community

bert-finetuned-imdb

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: 0.4222

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.3095	1.0	250	0.3048
0.3721	2.0	500	0.2974
0.0886	3.0	750	0.4222

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Downloads last month: 4

Safetensors

Model size

82.2M params

Tensor type

F32

·

Model tree for hanyuany14/bert-finetuned-imdb

Base model

google-bert/bert-base-uncased

Finetuned

(7050)

this model