tuto-distilbert-base-uncased-mlm

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

• Loss: 0.6807

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8087	1.0	157	0.7144
0.7182	2.0	314	0.6918
0.7041	3.0	471	0.6918

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0
• Datasets 2.3.2
• Tokenizers 0.11.0