metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: ctc_classifier
results: []
ctc_classifier
This model is a fine-tuned version of distilbert-base-uncased on the Stanford IMDB dataset dataset.
Model description
This is an example model used as part of a class project and I strongly suggest not using it yourself.
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: 16
- 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: 2
Training results
Framework versions
- Transformers 4.53.2
- Pytorch 2.2.2
- Datasets 4.0.0
- Tokenizers 0.21.2