This model is a fine-tuned version of HoleEast979/imdb-sentiment-distilbert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3584
Accuracy: 0.875

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: 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
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	63	0.3239	0.88
No log	2.0	126	0.3584	0.875

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0

HoleEast979/imdb-sentiment-distilbert-v2

imdb-sentiment-distilbert-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HoleEast979/
imdb-sentiment-distilbert-v2