distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier

This model is a fine-tuned version of sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2862
• Precision: 0.9244
• Recall: 0.9016
• F1: 0.9129
• Accuracy: 0.916

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: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1