finetuned_imdb_classification_model

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the stanford/imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.2148
Accuracy: 0.9226

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: 32
eval_batch_size: 128
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
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1818	1.0	782	0.2104	0.9212
0.1074	2.0	1564	0.2638	0.9188

Framework versions

Transformers 5.22.1
Pytorch 2.14.1+cu130
Datasets 4.8.5
Tokenizers 0.23.3

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Safetensors

Model size

67M params

Tensor type

F32

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