clasificador-imdb

This model is a fine-tuned version of answerdotai/ModernBERT-base on the standordnlp/imdb dataset. It achieves the following results on the evaluation set:

• Loss: 0.2964
• Accuracy: 0.96

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	100	0.3764	0.94
No log	2.0	200	0.2373	0.965
No log	3.0	300	0.2964	0.96

Framework versions

• Transformers 4.51.2
• Pytorch 2.10.0+cu128
• Datasets 4.7.0
• Tokenizers 0.21.4