imdb-distilbert-optimized-v2

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

• Loss: 0.5827
• Accuracy: 0.9099
• F1: 0.9100

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: 64
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• 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
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0192	1.0	704	0.5347	0.904	0.9104
0.016	2.0	1408	0.5904	0.9096	0.9127
0.0037	3.0	2112	0.6376	0.9092	0.9126

Framework versions

• Transformers 4.53.1
• Pytorch 2.6.0+cu124
• Datasets 2.14.5
• Tokenizers 0.21.2