lvwerra/distilbert-imdb

Model

should probably proofread and complete it, then remove this comment. -->

9 commits

1 linked in READMEs

updated Jan 25, 2023

See the code

README

distilbert-imdb

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

Loss: 0.1903
Accuracy: 0.928

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2195	1.0	1563	0.1903	0.928

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3

distilbert

endpoints_compatible

generated_from_trainer

model-index

pytorch

tensorboard

text-classification

text-embeddings-inference

transformers

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lvwerra/distilbert-imdb

Model

should probably proofread and complete it, then remove this comment. -->

9 commits

1 linked in READMEs

updated Jan 25, 2023

See the code

README

distilbert-imdb

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

Loss: 0.1903
Accuracy: 0.928