HamzaSidhu786
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distilbert-base-uncased-finetuned-imdb

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distilbert-base-uncased-finetuned-imdb

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

Loss: 2.2260

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: 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: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.4791	1.0	625	2.2769
2.3842	2.0	1250	2.2267
2.3412	3.0	1875	2.2260

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Downloads last month: 5

Safetensors

Model size

67M params

Tensor type

F32

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Model tree for HamzaSidhu786/distilbert-base-uncased-finetuned-imdb

Base model

distilbert/distilbert-base-uncased

Finetuned

(7319)

this model

Evaluation results

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