muratsimsek003
/

finetuned_sentiment_bert

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

finetuned_sentiment_bert

This model is a fine-tuned version of distilbert-base-uncased on the rotten_tomatoes_movie_review dataset.

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: 2

Training results

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1

Downloads last month: 3

Safetensors

Model size

67M params

Tensor type

F32

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