albert_base_v2_imdb

This model is a fine-tuned version of albert-base-v2 on the imdb dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3031
• eval_accuracy: 0.898
• eval_runtime: 21.4873
• eval_samples_per_second: 46.539
• eval_steps_per_second: 2.932
• epoch: 4.08
• step: 399

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1