Vishalrewaskar
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bert-finetuned-imdb

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

bert-finetuned-imdb

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

eval_loss: 0.0014
eval_model_preparation_time: 0.0027
eval_runtime: 6.9226
eval_samples_per_second: 72.227
eval_steps_per_second: 9.101
epoch: 0
step: 0

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Framework versions

Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.7.0
Tokenizers 0.22.2

Downloads last month: 8

Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for Vishalrewaskar/bert-finetuned-imdb

Base model

google-bert/bert-base-uncased

Finetuned

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